About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. 10a Labs&#x2019; Investigations Team needs additional support to respond to critical safety incidents and conduct investigations across a range of abuse areas, including but not limited to Violence, Hate, Mental Health, CBRNE, Child Safety, Cyber Abuse and more. About The Role As a Threat Investigator, you will be supporting our remote-first, Sydney-based Asia-Pacific (APAC) Investigations Team. You will be responsible for detecting and/or responding to malicious use and abuse on our platform, investigating activity, drafting reports based on your findings, and making recommendations. This will require technical experience investigating threat actors, harmful behaviors, cyber abuse, and/or other activities; as well as a strong ability to use SQL and Python to query, transform, and understand data. You will also respond to escalations and reactive leads, including those that are not caught by our existing safety systems. Investigations involve sensitive and distressing content, including sexual, violent, or otherwise-disturbing material. This role includes serving in an on-call capacity that will involve resolving urgent escalations outside of normal work hours, occasionally including evenings and weekends. The typical on-call rotation is 7 consecutive days per 2 months, though this may shift based on operational needs and candidates should be prepared to remain flexible. In This Role, You Will <ul><li>Proactively detect and reacquire bad actors on our platform.</li><li>Investigate potentially policy-violating activity by querying internal data sources (using SQL and Python) and cross-referencing open source information (OSINT). </li><li>Document and share investigative findings with internal stakeholders. </li></ul>Requirements <ul><li>At least 3+ years of related investigative experience in Trust &amp; Safety, National Security, Defense, Intelligence, or Law Enforcement domains working on related topics; must be willing to work on sensitive subject matter including child safety. </li><li>Asia Pacific-based, with the ability to work Sydney hours (9am - 5pm local time).</li><li>Ability to be on-call that will involve resolving urgent escalations outside of normal work hours, including occasional evenings and weekends.</li><li>Strong SQL and Python proficiency and/or additional programming skills.</li><li>Strong and applicable technical investigative skillset with ability to develop and maintain detection pipelines.</li><li>Ability to rapidly context switch across domains, modalities, and abuse areas.</li><li>Excited to work in a fast paced, ambiguous, and purposeful space with high impact across users and beyond. </li></ul>Desired Qualities (but Not Required) <ul><li>Expertise with risk and abuse related to AI platforms. </li><li>EMEA geopolitical expertise and/ or professional experience as an EMEA-based Threat Investigator.</li><li>Full professional proficiency in Arabic, Chinese, Korean, Japanese, Farsi, Portuguese, Russian, or Spanish.</li><li>Have experience scaling and automating detection and mitigation processes.</li><li>Familiarity using language models to scale.</li><li>Familiarity with one of the following topics/areas: violence, extremism, child safety, prompt injection, litigation, scams and fraud abuse, radicalization/persuasion/grooming, hateful activities and groups.</li></ul>

Threat Investigator - APAC

Microsoft Excel Specialist Position: Microsoft Excel Specialist Type: Contractor Compensation: $30&#x2013;$100/hour Location: Remote About the OpportunityWe are seeking experienced Microsoft Excel Specialists to support a project focused on real-world spreadsheet workflows. You&#x2019;ll apply your expertise in Excel, formulas, data analysis, reporting, and visualization to complete practical tasks and create accurate documentation.Key Responsibilities<ul><li>Complete realistic Microsoft Excel workflows.</li><li>Create, format, organize, and manage spreadsheets and workbooks.</li><li>Use formulas and functions to solve practical problems.</li><li>Create and analyze Pivot Tables.</li><li>Clean, filter, and transform datasets.</li><li>Build charts, reports, and dashboards.</li><li>Identify formula, data, and formatting errors.</li><li>Document Excel workflows and provide clear feedback.</li></ul>Required Qualifications<ul><li>Strong professional experience with Microsoft Excel.</li><li>Proficiency with formulas, functions, Pivot Tables, sorting, filtering, and formatting.</li><li>Experience with data analysis, cleaning, and organization.</li><li>Ability to create charts, reports, and dashboards.</li><li>Strong attention to detail and problem-solving skills.</li><li>Ability to clearly explain Excel workflows and work independently.</li></ul>Preferred Qualifications<ul><li>Professional background in finance, accounting, business analysis, operations, data analysis, or research.</li><li>Experience creating advanced spreadsheet workflows and analytical reports.</li></ul>Compensation<ul><li>Competitive compensation of $30&#x2013;$100/hour.</li><li>Independent contractor engagement.</li><li>Fully remote and flexible project-based work.</li><li>Approximately 40 positions available.</li></ul>Application Process<ol><li>Submit your application and relevant experience.</li><li>Complete any required screening or evaluation.</li><li>Complete project onboarding and workflow guidelines training.</li><li>Begin completing and documenting Excel workflows if selected.</li></ol>

Excel Data Analyst (Remote | $30–$100/hr)

About the role Our Senior DFIR Analyst role is an exciting opportunity for those looking to go head-to-head with today&apos;s cyber criminals. We&apos;re looking for a Senior DFIR Analyst with at least 2 years&apos; experience to lead and support investigations into Business Email Compromise (BEC), ransomware, and web application breaches. You&apos;ll drive evidence collection, containment, forensic analysis, reporting while working alongside some of the best in the field. You&apos;ll contribute your expertise to strategy and methodology across various incident types, with a particular focus on forensic investigations into complex cyber incidents. You&apos;ll operate confidently both independently and as part of a team, working across the full operational flow and attack chain of security incidents to help our clients respond to cyber attacks and other investigations.Gridware responds to a broad range of incidents, including Business Email Compromise, insider threat and employee misconduct, cloud and network compromise, ransomware, and data extortion. What you&apos;ll do<ul><li>Collect and preserve evidence</li><li>Conduct host-based and network-based forensics</li><li>Perform malware analysis</li><li>Review cloud and application logs</li><li>Use industry best-practice tools for log ingestion, threat hunting, and Endpoint Detection and Response, including KAPE, AXIOM, SOF-ELK, Velociraptor, CrowdStrike, and SentinelOne</li></ul> What we&apos;re looking for<ul><li>Hands-on experience with CrowdStrike Falcon for endpoint investigation, threat hunting, and incident containment, including using Real Time Response (RTR) to support forensic evidence collection and response activities</li><li>Real-world experience in incident response, digital forensics, or a security operations centre</li><li>Demonstrated technical capability with digital forensics tools, particularly on Windows systems (experience with Linux and macOS investigations is a plus)</li><li>An autonomous, critical thinker with a positive attitude and a team-first mindset</li><li>General cyber security knowledge, including an understanding of the threat landscape, threat actor groups, and playbooks</li><li>Strong communication skills, able to convey technical concepts to a broad range of audiences</li><li>Certifications such as GCFE, GCFA, or GCIH are helpful in demonstrating capability but not essential</li></ul> Why Gridware<ul><li>Flexible, remote-friendly environment, work fully remote, or from our A-grade office in Australia Square in the heart of Sydney&apos;s CBD</li><li>Great Place to Work certified and Top 10 Best Workplace in Australia 2024 &amp; 2025</li><li>Exposure to high-impact, high-urgency incidents across industries</li><li>A flexible, remote-friendly environment &#x2014; we&apos;re DFIR operators and we understand that work can be busy, but so can life</li><li>Variety of casework: Gridware responds to a high volume of incidents, so no two days are the same</li><li>Strong learning and development culture: a collaborative team of innovators with access to leading tooling, training, and thought leadership</li><li>Mental health days and flexible working arrangements</li></ul>

Senior DFIR Analyst

About The Role Water Corporation&apos;s Fire Management Team is seeking an experienced and motivated Spatial Advisor to support the delivery of one of Western Australia&apos;s largest bushfire mitigation programs. This is an exciting opportunity to combine spatial analysis, GIS technology, aerial imagery and drone operations to support the planning and delivery of critical bushfire mitigation activities across the State. Working at the intersection of GIS, remote sensing, drone technology and bushfire management, you&apos;ll contribute directly to protecting Water Corporation assets, the environment and communities across Western Australia. Who We Are When you join Water Corporation, you play an important role for the people of WA. Our services are essential for life - everyday, millions of Western Australians rely on us to deliver and manage water across our state. If you&#x2019;re driven to make a meaningful contribution, you&#x2019;ve come to the right place. Real Benefits That Matter <ul><li>Real flexibility with options to work from home, flexible work hours</li><li>Two well-being days each year to recharge, relax and enjoy life (separate to standard paid sick/personal leave)</li><li>Access to long service leave pro rata after 3 years of service</li><li>Take advantage of our co-contribution superannuation scheme. Receive a 12% employer contribution and enjoy an additional 2% employer co-contribution when you elect to salary sacrifice 2% </li><li>Purchase additional leave of up to 12 weeks or work 4 years at a reduced salary and take the fifth year off as paid leave</li><li>Aboriginal and Torres Strait Islander cultural and ceremonial leave of up to 5 days so you can maintain your cultural connection and wellbeing.</li><li>Annual leave loading &#x2013; an extra 17.5% pay when you use your annual leave </li></ul>Discover more benefits we offer to support the unique and individual ways our employees live. What You Can Expect With This Role <ul><li>Deliver specialist spatial analysis, mapping and visualisation solutions that support bushfire mitigation planning, operational activities and strategic decision-making.</li><li>Lead the coordination of the Remotely Piloted Aircraft (RPA) program, overseeing aerial imagery collection and the management of spatial data assets.</li><li>Use GIS, remote sensing and geospatial technologies to assess bushfire risk, monitor program outcomes and identify opportunities for improvement.</li><li>Develop insightful reporting, dashboards and visualisations that transform complex data into meaningful information for stakeholders.</li><li>Work closely with internal teams, government agencies and external partners to support environmental approvals, fire management initiatives and cross-functional projects.</li><li>Drive innovation and strengthen geospatial capability across the Fire Management Program through technical expertise, best-practice solutions and continuous improvement. </li></ul>Your Skills And Experience For this role, we are looking for great talent with: <ul><li>Demonstrated experience using ESRI products and spatial technologies to deliver practical business outcomes.</li><li>Strong skills in analysing, interpreting and presenting spatial, operational or environmental data.</li><li>Experience with data visualisation tools such as Power BI and the ability to communicate insights effectively.</li><li>Knowledge of drone operations, aerial imagery management or remote sensing technologies will be highly regarded.</li><li>Strong problem-solving skills, with the ability to develop innovative solutions and exercise sound technical judgement.</li><li>Excellent communication and stakeholder engagement skills, with the ability to build effective relationships across diverse teams. </li></ul>Sound like a match? Apply today If you are interested in the above opportunity, please submit a covering letter and resume that best demonstrates your skills and experience as well as your ability to meet the requirements of the role. Applications close Wednesday, 14th October 2026. We reserve the right to withdraw this ad prior to the closing date As part of the recruitment process you may be required to complete pre-employment screening which commonly include - but not limited to - a medical, qualification check, police clearance and Australian working rights check. If you would like the full list of pre-employment screening checks prior to applying, please contact recrutiment@watercorporation.com.au Our Commitment To a Diverse And Inclusive Workplace Diversity and inclusion are more than words. They guide us on building a thriving workforce that reflects the diversity of our customers and our community. We encourage applications from every background, including Aboriginal and Torres Strait Islander people, people with disability, women, youth, LGBTQIA+ folks and people from culturally and linguistically diverse backgrounds. We are committed to ensuring an accessible and inclusive work environment to enable people with disability to participate fully in all aspects of employment. Applicants with disability who require adjustments during the recruitment process including an alternative format of the application form, can contact a Recruitment Officer at recruitment@watercorporation.com.au or 08 9420 2000. To read our diversity and inclusion statement, please visit our website

Spatial - Advisor

At IAG, we&#x2019;re ready for you. We&apos;re the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible. In this role, you&apos;ll work with a collaborative team to analyse trends, build and enhance pricing models, and support strategies that deliver value for both customers and the business. You&apos;ll partner with teams across Pricing, Portfolio, Product and Data to turn insights into action, identify opportunities, and help ensure risks are priced accurately. This is a 12-month max-term full-time role based in Naarm (Melbourne) or Gadigal Country (Darling Park 2, Sydney). What You&apos;ll Do <ul><li> Data testing, implementation testing, End to End testing and support</li><li> Analyse pricing and portfolio data to identify trends, risks and opportunities that support better business decisions</li><li> Support the development, implementation and enhancement of technical pricing models across insurance products</li><li> Contribute to commercial pricing strategies and help monitor pricing performance and outcomes</li><li> Work closely with stakeholders across Pricing, Portfolio, Product, Data and Reserving teams to deliver insights and solutions</li><li> Use analytical tools and programming languages such as Python, R and SQL to solve complex business problems</li><li> Present data-driven insights and recommendations to both technical and non-technical audiences</li><li> Support pricing governance, reporting and continuous improvement initiatives to ensure robust and effective pricing practices&#x2019; </li></ul>What You&apos;ll Bring <ul><li> A background in Actuarial Studies, Mathematics, Statistics, Data Science, Computer Science or another quantitative field</li><li> Strong analytical and problem-solving skills, with the ability to work with complex data and turn insights into action</li><li> Experience with analytical tools and programming languages such as Python, R, SQL, SAS or VBA</li><li> Ideally, 2+ years&apos; experience in general insurance pricing or a similar quantitative environment</li><li> An interest in pricing, analytics and using data to solve real business challenges</li><li> Strong communication skills, with the ability to explain technical concepts and insights to a range of stakeholders</li><li> A collaborative mindset, curiosity to learn, and the ability to quickly pick up technical pricing concepts and methodologies </li></ul>What We Offer <ul><li> Boosted superannuation with 13% as standard.</li><li> 20 days annual leave + 5 days MyLeave (extra leave for what&#x2019;s important to you).</li><li> Work from home and many more flexibility options with myFlex.</li><li> Up to 50% off personal insurance, including home and motor insurance.</li><li> Partner discounts on private health insurance, tech &amp; appliances, and many more.</li><li> Access to LinkedIn Learning and the award-winning IAG Academy.</li><li>employment type eligibility criteria apply </li></ul>Applications close: Sunday 2 August 2026 11:59PM AEST Adjustments and Support If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to recruitment@iag.com.au for a confidential conversation. More About Us As part of IAG you&apos;ll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That&#x2019;s not just words. It&#x2019;s our people promise. We&apos;re ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees.

Pricing Analyst

About This Opportunity We&apos;re working with a leading foundational AI lab to find experienced reporting analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We&apos;re looking for reporting analysts with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders. Compensation: $80/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications <ul><li> 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders</li><li> Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives</li><li> Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail </li></ul>About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements <ul><li>4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders</li><li>Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives</li><li>Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail</li></ul>

Expert Opportunity - Reporting Analyst ($80/hr, up to $1,600/week)

About This Opportunity We&apos;re working with a leading foundational AI lab to find experienced gtm operations managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We&apos;re looking for gtm operations managers with 5+ years in revenue operations, GTM operations, or CRM data operations to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: crm field-mapping schemas, lead-routing logic documents, territory carve models, pipeline hygiene audits, funnel conversion dashboards, and deduplication rulesets. Compensation: $100/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications <ul><li> 5+ years in revenue operations or CRM operations, with hands-on ownership of field-mapping schemas, lead-routing logic, and deduplication rulesets</li><li> Experience auditing pipeline hygiene and building funnel conversion dashboards that sales and marketing leadership rely on</li><li> Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail </li></ul>About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements <ul><li>5+ years in revenue operations or CRM operations, with hands-on ownership of field-mapping schemas, lead-routing logic, and deduplication rulesets</li><li>Experience auditing pipeline hygiene and building funnel conversion dashboards that sales and marketing leadership rely on</li><li>Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail</li></ul>

Expert Opportunity - GTM Operations Manager ($100/hr, up to $2,000/week)

About This Opportunity We&apos;re working with a leading foundational AI lab to find experienced competitive strategy analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We&apos;re looking for competitive strategy analysts with 4+ years conducting market research, competitive landscape analysis, or industry benchmarking to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: competitive landscape and positioning decks, market sizing and TAM/SAM/SOM models, win/loss and competitor battlecard analyses, industry benchmarking and trend reports, customer and stakeholder survey summaries, and pricing and feature comparison matrices. Compensation: $70/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications <ul><li> 4+ years conducting market research, competitive intelligence, or industry benchmarking analysis in an agency, consulting, or in-house strategy role</li><li> Direct experience building market sizing models, competitor battlecards, or pricing comparison matrices used to inform go-to-market or product decisions</li><li> Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail </li></ul>About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements <ul><li>4+ years conducting market research, competitive intelligence, or industry benchmarking analysis in an agency, consulting, or in-house strategy role</li><li>Direct experience building market sizing models, competitor battlecards, or pricing comparison matrices used to inform go-to-market or product decisions</li><li>Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail</li></ul>

Expert Opportunity - Competitive Strategy Analyst ($70/hr, up to $1,400/week)

About This Opportunity We&apos;re working with a leading foundational AI lab to find experienced revops managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We&apos;re looking for revops managers with 5+ years in revenue operations, GTM operations, or CRM data operations to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: crm field-mapping schemas, lead-routing logic documents, territory carve models, pipeline hygiene audits, funnel conversion dashboards, and deduplication rulesets. Compensation: $100/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications <ul><li> 5+ years in revenue operations or CRM operations, with hands-on ownership of field-mapping schemas, lead-routing logic, and deduplication rulesets</li><li> Experience auditing pipeline hygiene and building funnel conversion dashboards that sales and marketing leadership rely on</li><li> Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail </li></ul>About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements <ul><li>5+ years in revenue operations or CRM operations, with hands-on ownership of field-mapping schemas, lead-routing logic, and deduplication rulesets</li><li>Experience auditing pipeline hygiene and building funnel conversion dashboards that sales and marketing leadership rely on</li><li>Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail</li></ul>

Expert Opportunity - RevOps Manager ($100/hr, up to $2,000/week)

Position: Financial Modeling AnalystType: ContractCompensation: $154 - $210/hourLocation: United States, United Kingdom, Canada, Australia, New ZealandCommitment: 10-40 hrs/week Role Responsibilities<ul><li>Develop and maintain complex financial models, including DCF, LBO, and valuation frameworks to support investment strategies.</li><li>Conduct comprehensive financial and investment analysis to assess business opportunities and risks effectively.</li><li>Prepare accurate and timely financial reports, forecasts, and presentations for stakeholders to facilitate informed decision-making.</li><li>Analyze large datasets to derive actionable insights that support capital markets and investment decisions.</li><li>Monitor market trends, financial news, and emerging fintech developments to inform and refine investment strategies.</li><li>Collaborate with cross-functional teams to support AI-driven financial projects and ensure alignment with business objectives.</li></ul> Requirements<ul><li>Have a Bachelor s degree in Finance, Economics, or a related field.</li><li>Have a minimum of of experience in financial analysis, investment analysis, or capital markets.</li><li>Possess advanced proficiency in Excel for financial modeling and data analysis.</li><li>Have expertise in DCF, LBO, valuation techniques, and forecasting methodologies.</li><li>Demonstrate a strong analytical mindset with excellent attention to detail.</li></ul> Application Process<ul><li>Easy Apply on LinkedIn</li><li>Check email for next steps</li><li>Participate in resume evaluation &amp; interview stage</li></ul>

Financial Modeling Analyst | Remote

At Roofr, we&#x2019;re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That&#x2019;s what makes Roofr&#x2019;s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions&#x2014;along with payments, material ordering, and more&#x2014;into a seamless, powerful platform. With a clear roadmap ahead, we&#x2019;re excited to continue expanding and leading the market with innovative products. We have an amazing culture, strong financials, and best-in-class company metrics. It&#x2019;s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact. This position is for an existing vacancy. At Roofr, building a powerful user experience starts with data. As a Senior Data Analyst at an early-stage, high-growth company, you&#x2019;ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. You&#x2019;ll have a direct impact on how we use data to grow, and help influence the roadmap for how analytics evolves at Roofr. This role sits at the intersection of data analytics and business, ideal for someone comfortable moving between modeling data, building dashboards, and advising senior leadership on growth opportunities. What You&apos;ll Get To Do <ul><li>Partner directly with business and product owners to shape roadmaps, prioritize features, and measure success</li><li>Build an AI-first business intelligence platform to supercharge self-serve analysis</li><li>Deliver actionable insights on user behavior, market trends, and business performance to marketing, revenue and product teams.</li><li>Lead sales and marketing analytics by defining KPIs and optimizing our acquisition funnels.</li><li>Tell compelling data stories to communicate insights to technical and non-technical audiences</li><li>Transform, clean, and model raw data using DBT to create reliable, analytics-ready datasets</li><li>Take ownership of our analytics foundation, inheriting existing models (DBT) and data warehouse structure (Snowflake) to clean, improve, and scale them alongside a Senior Analytics Engineer. </li></ul>What You&apos;ll Bring To The Role <ul><li>7+ years of experience in data analysis and/or data science, ideally on sales, marketing, and growth analytics at a SaaS company</li><li>Expertise hacking AI/ML and automation tools for growth purposes, on top of using Claude, Cortex and other AI tools to streamline analytics workflow</li><li>Proficient in BI tools like Metabase, Sigma, Tableau, Omni, or Looker</li><li>Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, PostgreSQL)</li><li>Hands-on experience with DBT for managing the Transform layer of ELT pipelines</li><li>Ability to work cross-functionally to define metrics, create dashboards, and ensure data quality</li><li>A strong analytical mindset with a keen eye for detail and accuracy </li></ul>Who You Are <ul><li>Loves transforming messy data into clean models and insights</li><li>Thrives at bringing structure to chaos and able to find focus while juggling multiple projects</li><li>Lead with intent and proactively bring ideas to our partners and stakeholders</li><li>Eager to elevate your team and organization to new heights</li><li>A strong communicator with great presentation skills</li><li>Analytical with a demonstrated ability to utilize data to make informed decisions</li><li>A critical thinker who doesn&#x2019;t settle for the status quo </li></ul>Compensation Band: $130,000.00 - $140,000.00 CAD Our compensation ranges are built using multiple market benchmarks and reflect both the scope of the role and current market data. While many hires fall within the beginning to midpoint of the band to allow for growth over time, we tailor offers based on each candidate&#x2019;s experience, seniority, and demonstrated impact. &#x1F3E0; What we offer (US + Canada) &#x1F3DD;&#xFE0F; Vacation/Paid Time Off When you join our team, you&#x2019;re not just accepting a job. You&#x2019;re making a career move. Here&#x2019;s how we&#x2019;ll support you in doing some of the most impactful work of your career: <ul><li>1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!</li><li>1 Friday off per month (we call those our laundry days!)</li><li>Company wide paid shutdown for the week between Christmas and New Years</li><li>Flexible time off</li><li>80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada</li><li>RRSP/401k match</li><li>Generous Parental Leave policy </li></ul>&#x1F91D; Perks <ul><li>We host an annual company retreat with great team building activities</li><li>Ample learning and development opportunities to continue growing your career</li><li>Home office setup stipend</li><li>Internet and phone allowance</li><li>Remote first culture</li><li>Weekly Friday paydays! </li></ul>&#x1F916; AI Notice At Roofr, we&#x2019;re big fans of AI. It helps us write job descriptions that don&#x2019;t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you. Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users &#x1F440;). But when it&#x2019;s time to chat, we&#x2019;d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too. And don&#x2019;t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you&#x2019;ll always speak with real humans throughout the interview process. No bots, just good people &#x263A;&#xFE0F; &#x26A0;&#xFE0F; Important Notice We&#x2019;ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra &#x201C;r&#x201D;). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls. To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers. If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com. Your safety and security are important to us &#x2014; thank you for your vigilance! Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

Senior Data Analyst

About The Role You&apos;re the operational heartbeat of a fast-moving Amazon agency Pod. You keep accounts healthy, clients happy, and your team unblocked &#x2014; every single day. If you thrive on ownership, love the Amazon ecosystem, and want to grow fast inside a team that actually invests in you, read on. You report directly to the Brand Manager and work in close coordination with a PPC Specialist and Graphic Designer. Together, your Pod manages 10-15 Amazon brand accounts at the highest standard. What You&apos;ll Own <ul><li> Listing Content &amp; SEO</li><li>Keyword research, title and bullet copy, A+ content body text, backend search terms</li><li>Optimize listings for Rufus and Cosmo (Amazon AI); manage flat file bulk uploads</li><li>CTR and conversion rate A/B testing, indexation and keyword tracking reports</li><li>Phase 1-4 SEO strategy, competitor research, and keyword placement files</li><li> Creative &amp; Image Management</li><li>Develop main image optimization ideas and write clear design briefs for the GD team</li><li>Review designer output, coordinate revisions, and upload finals to Amazon</li><li>Manage A+, Premium A+, and Brand Store design end-to-end</li><li> Account &amp; Catalog Management</li><li>Day-to-day Seller Central operations across all assigned accounts</li><li>Resolve suppressed ASINs, catalog errors, and Seller Support cases</li><li>Monitor Buy Box %, pricing anomalies, inventory levels (FBA/AWD), ratings, and account health</li><li> Client Management</li><li>Handle technical queries and operational updates; always keep the Brand Manager looped in</li><li>Prepare biweekly client decks, track wins, and maintain 30/60/90 day account strategies</li><li>Run SKU-level profitability analyses and surface margin improvement opportunities</li><li> Graphic Designer Coordination</li><li>Ensure the Graphic Designer always has a full workload &#x2014; listing images, A+, Brand Story, Storefront</li><li>Provide clear briefs with reference images and communicate client expectations precisely</li><li>Review designed assets, coordinate revisions, and obtain client approval before uploading</li><li> Task &amp; ClickUp Management</li><li>Keep daily capacity workload up to date in ClickUp every single day</li><li>After every meeting, ensure all action items are captured as tasks with due dates</li><li>Flag blockers immediately &#x2014; never let missed goals go unaddressed</li><li> Growth &amp; Strategy</li><li>Develop growth strategies aligned with client goals; share recommendations with the Brand Manager</li><li>Coordinate with PPC on keyword lists, TACoS targets, and campaign performance</li><li>Implement at least one category-specific strategy per quarter (out-of-the-box thinking required)</li><li> Reporting &amp; Documentation</li><li>Submit daily check-ins and weekly summaries</li><li>Build and maintain SOPs for AM-related processes</li><li>Maintain task records and client data on Airtable and Google Drive </li></ul>How You&apos;ll Be Measured You&apos;ll be evaluated across five dimensions &#x2014; and you&apos;ll always know exactly where you stand. Client Health &amp; Retention <ul><li>Zero client churn &#x2014; the target, every quarter</li><li>Sub-8-hour average response time to client emails and Slack</li><li>NPS and client satisfaction: clients feel known, heard, and valued </li></ul>Revenue &amp; Growth <ul><li>Month-over-month and year-over-year revenue growth across managed accounts</li><li>TACoS trend: maintaining or improving while scaling revenue</li><li>Buy Box % maintained and improved on key ASINs </li></ul>Listing &amp; Content Quality <ul><li>Number of listings improved per month (copy, images, A+ content)</li><li>Measurable CTR and CVR lift from listing changes</li><li>Suppressed and error listings resolved promptly </li></ul>Operational Discipline <ul><li>90%+ ClickUp task completion rate &#x2014; overdue tasks target: zero</li><li>Daily check-ins submitted on every working day</li><li>At least one automation or AI project implemented per quarter </li></ul>Initiative &amp; Leadership <ul><li>Proactive recommendations to clients: pricing, launches, deals, channel strategy</li><li>SOPs created, templates built, team knowledge shared</li><li>New Amazon knowledge demonstrated weekly in Pod meetings </li></ul>Requirements WHO YOU ARE You&apos;re not a task-ticker. You&apos;re an operator who thinks like a strategist, communicates like a pro, and takes pride in accounts running flawlessly. You spot problems before clients do. You bring answers, not just questions. You want to grow &#x2014; and you&apos;re willing to put in the daily work to get there. <ul><li>2-3 years of experience managing Amazon brand accounts in Amazon Seller Central</li><li>Experience working at an Amazon agency or working with an Amazon agency</li><li>Experience with Amazon listing SEO, including keyword research, listing copy, and indexation</li><li>Excited by AI tools and automation &#x2014; not intimidated by them, with experience using AI tools for ecommerce or operational workflows, including Claude AI or Google Gemini</li><li>Experience managing client communication and updates for brand accounts, including handling client emails and Slack, preparing performance decks, and walking clients through account issues and next steps</li><li>Comfortable coordinating a Graphic Designer&apos;s daily workload, including briefing listing images or A+ content and coordinating revisions</li><li>Experience coordinating cross-functional Amazon workflows with PPC and creative stakeholders</li><li>Based in Mexico, Canada, the Philippines, the United Kingdom, or Australia</li><li>Available during Eastern Time and Central Time business hours</li><li>Experience using ClickUp for task management is a plus </li></ul>TOOLS YOU&apos;LL MASTER <ul><li>Experience using Figma to coordinate or review creative assets</li><li>Experience using Airtable and Google Workspace for documentation or account operations </li></ul>Benefits WHY GIGABRANDS OUR CORE VALUES These are operating principles, not wall art. Every decision, email, and recommendation runs through them. Be a Moral Human Integrity in every client interaction, every strategy, every decision. Do right by your clients, teammates, and the people around you. Improve 1% Daily One automation. One new insight. One sharper question per meeting. Compound growth applies to people, not just businesses. Extreme Ownership No blame. No excuses. If it&apos;s on your account, it&apos;s on you &#x2014; and you&apos;ll fix it. Act as the missile defense system that intercepts problems before they hit the client. Solve, Don&apos;t Escalate Before raising an issue, ask: what&apos;s my proposed solution? Bring answers, not just questions. Make an Impact Focus on meaningful results. Everything you do should move the needle for your clients and for GigaBrands. Fail Forward Bold strategies are encouraged. Identify failures quickly, document the learning, and pivot. Don&apos;t be afraid to try. Benefits &#x1F4B5; Competitive salary: 2,500-4,000 USD/month. &#x1F30D; Fully Remote, Always Fully remote, year-round. No return-to-office surprises &#x2014; ever. &#x1F3D6;&#xFE0F; PTO After Probation Earn paid time off after successfully completing your probationary period. We believe in rewarding commitment. &#x26A1; Real Growth, Fast Weekly upskilling, GigaBrands University access, and a team that celebrates 1% improvements every day. Your growth here is deliberate and measurable. &#x1F6E0;&#xFE0F; Best-in-Class Toolstack Claude AI, Helium 10, Data Dive, Figma, ClickUp &#x2014; you&apos;ll become expert-level across all of them, making you more valuable everywhere you go.

Amazon Account Strategist

About Us &#x1F680; Bridgit is a leading non-bank lender transforming the way Australians access property finance. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution &#x2013; empowering homeowners to unlock their property equity and move on their terms. With a simple digital application, fast approvals, and flexible loan options, we&#x2019;re making property finance seamless and stress-free. We&#x2019;re now five years old and making huge strides. We have accredited over three quarters of Australia&#x2019;s broker network, and launched white label solutions with Australia&#x2019;s largest aggregators &#x2013; Connective, Aussie Home Loans, Finsure, and Loan Market Group &#x2013; and we&#x2019;re just getting started. Our momentum has been recognised with awards such as Best Growth Story at the 2025 Fintech Awards, 2025 Finder People&#x2019;s Choice Award for Lending Innovation, finalist for Excellence in Lending (Business &amp; Consumer) at the 2025 Finnies, Deloitte&#x2019;s Tech Fast 50 2025, and being recognised as one of LinkedIn&#x2019;s top 20 Start Ups in Australia 2025. The Role This is the pricing seat at a scaling non-bank lender. You&apos;ll own the pricing position across the full product suite: where we sit by product and channel, where we should move to win, and the recommendation that gets us there. You&apos;ll own competitive response, the discretion framework the network prices within, and the commercial launch of new products, front-book origination through back-book portfolio. The calls are shaped by your recommendations, and your recommendations carry weight because they&apos;re built on your own analysis. The difference you&apos;ll make You&apos;ll inherit a working set of pricing tools and workbooks built by the Head of Strategic Finance, harden them into production-grade infrastructure, and stand up the workstreams not yet being executed: structured competitive analysis, systematic BDM deal intelligence, and portfolio pricing analytics. This is a single-threaded function that you own end to end, the modelling and Pricing Committee memos as much as the strategy and positioning. This is a data-driven house. Recommendations that arrive with the evidence and a clear read on what it does and doesn&apos;t support move the decision. If you want the commercial call to be yours to make the case for, earned through the analysis rather than asserted, and you thrive at the intersection of financial rigour and commercial ownership, this is the role. Your Skills And Experience <ul><li>Reasons instinctively from data, and is disciplined about stating what incomplete data can and cannot support.</li><li>Demonstrated ownership of a rate card, loading matrix, or Pricing Committee process.</li><li>4 to 6 years in a non-bank lender, bank, or mortgage aggregator with direct exposure to pricing, portfolio analytics, or treasury.</li><li>Residential or commercial lending domain knowledge required; warehouse funding cost mechanics strongly preferred.</li><li>Strong on IRR, NIM waterfall, contribution margin and funding cost mechanics; computes from first principles.</li><li>Excellent modelling discipline across models, tools, and analysis, this is critical; runs post-change effectiveness analysis independently.</li><li>Fluent in AI-assisted workflows; owns a prompt library and reuses it.</li><li>Clear, structured written output; PC memos and internal comms in plain, direct prose.</li><li>Able to step into PC chair function in the Head of Strategic Finance&apos;s absence. </li></ul>What You&apos;ll Do Own the commercial pricing position; <ul><li>Own the pricing position and propose whole-of-book direction: where we sit by product and channel, where we should move to win, brought to the Pricing Committee as an evidenced recommendation.</li><li>Own competitive response: monitor the panel, and when a competitor moves, bring the proposed answer fast and execute once approved.</li><li>Own new-product pricing and its commercial launch: rate structure through to positioning and channel approach.</li><li>Provide the discretion framework and deal analytics that Sales operates with the network: where flex converts, what it costs in margin, and how penetration is trending.</li><li>Bring recommendations to the Pricing Committee as decisions with a point of view, backed by data, not options papers handed to the room. </li></ul>Own pricing execution; <ul><li>Maintain the Pricing Monitor, Rate Card Master, and all four system rate reconciliations.</li><li>Draft, circulate, and implement Pricing Committee memos end to end.</li><li>Run unit economics checks (NIM, contribution margin, floor gap) on every pricing change.</li><li>Lead the Price Change Working Group from PC approval through post-implementation QA. </li></ul>Build the portfolio pricing analytics workstreams not yet running; <ul><li>Business owner for portfolio performance reporting: own the metric definitions, interpretation, and the read to the Pricing Committee and Risk Council, with the build and pipeline executed and supported by the Data &amp; Analytics team.</li><li>Portfolio yield decomposition: gross yield, NIM, and contribution margin by product, vintage, channel, and archetype.</li><li>Pricing realisation analysis: effective rate vs rate card, discretion penetration by channel, mix shift versus pricing assumptions.</li><li>Discharge economics and lifetime pricing analytics across the product suite.</li><li>Monthly competitive intelligence across the full lender panel: rates, credit policy, product launches, broker commissions.</li><li>Archetype-weighted competitive positioning.</li><li>Pricing effectiveness scorecard: conversion by rate point, pull-through by broker cohort, volume response.</li><li>Back-book yield monitoring and repricing candidates dashboard.</li><li>Quarterly BDM deal-level intelligence synthesis and borrower persona refresh. </li></ul>Drive cross-functional alignment; <ul><li>Partner with Marketing on broker-facing positioning, campaign timing, and rate change comms.</li><li>Coordinate post-RBA comms windows across front-book and back-book.</li><li>Partner with Credit, Product, and Treasury on funding cost inputs, policy alignment, and product design. </li></ul>Our Culture and Benefits Bridgit values its team, they are the heart of how we build this business. Along with competitive remuneration, slick offices and the chance to be part of an innovative, agile fintech, we also offer: <ul><li>Extra Leave &#x2013; We offer birthday leave + an additional day of paid leave to be used for life events, celebrations, or just a mental health reset.</li><li>Two Weeks from Anywhere &#x2013; We encourage employees to work remotely from a location of their choice for two weeks each year.</li><li>Learning and Development &#x2013; All employees are encouraged and empowered to engage in professional development, including a number of learning initiatives run internally.</li><li>Social Events &#x2013; We have a jam-packed social scene, with events throughout the year to bring the team together! </li></ul>Ready to Make an Impact? If you&apos;re passionate about transforming lending and want to join a team that values fresh thinking and real impact, we&#x2019;d love to hear from you. Apply now and help shape the future of finance! &#x1F680;

Pricing Manager

The harder path is the one that matters. At ClearAI, we believe AI must be about more than performance. We work with courageous leaders to adopt artificial intelligence responsibly: building governance that protects people, capability that empowers teams, and technology that creates lasting value. Not hype. Not automation at all costs. A future worth inheriting. We&apos;re growing, and we&apos;re looking for a Data Engineer who would rather build something new than wait for the next ticket. The RoleOur clients run real, physical operations, and their data arrives the way real data does: sensor readings and historian exports, SharePoint folder sprawl, hand-filled logsheets, finance extracts that follow a naming convention of their own, and thousands of pages of engineering drawings. Your job is to turn that into answers that leaders act on. We also want to show that an engineer working properly with AI can do what a small team used to do. This isn&apos;t a seat in a large team of specialists working through a queue. You&apos;ll have a blank canvas and the backing to use it. The tools, workflows and methods we rely on for years to come are still being invented, and you&apos;ll be one of the people inventing them. Ideas move from whiteboard to client work in weeks, not quarters, and what you build here gets used. What You&apos;ll DoGet to the answer, whatever state the data is in. You&apos;ll take a client&apos;s raw operational data, structure it, reconcile it, and find what&apos;s hiding in it. You&apos;ll treat documents as a data source, not just attachments. Think like a scientist. You&apos;ll form hypotheses, test several of them, and report what you find. You&apos;ll check how accurate your models are, and you&apos;ll know the difference between correlation and causation, and between variance and trend. When a difference is inside the noise, or the data can&apos;t support the question being asked, you&apos;ll say so plainly. Build with AI. AI is part of how you actually work, not a side interest. You&apos;ll find the parts of the analytical process that an agent should run instead of a person, build those workflows, and put a check on their output.&#xA0; Leave something behind. You&apos;ll build apps that take your analysis and deliver it in real time insights to Executives and field operators. Speak the client&apos;s language. A regression is only useful if it changes a decision. You&apos;ll frame your analysis around client outcomes and return on investment, including how the change will be measured. You&apos;ll be able to explain a number in two sentences to the person who has to act on it. You&apos;ll work alongside our Engagement Managers and sometimes directly with clients. Who You AreMaybe you&apos;re a few years into a quantitative career and already building things with AI that your workplace hasn&apos;t caught up to. Maybe you&apos;re a computer science graduate who has been shipping your own apps and tools on the side. Or maybe you&apos;ve spent years, even decades, in data, and you&apos;re ready to trade maintaining systems for building new ones. We care less about the path and more about who you are and what you&apos;ll bring. Whatever your background, you&apos;ve done real analysis on data that wasn&apos;t clean. You&apos;ll likely have studied computer science, engineering, statistics, economics or science.. You use AI heavily in your actual work, and you&apos;ve shipped things with it rather than only reading about it. You understand statistical testing and model validation, and you&apos;re comfortable working at scale. You&apos;re creative, optimistic, inquisitive, and a self-starter. When a new tool appears that might do the job better, you spend the weekend learning it and take the risk on it. You&apos;re curious about how a business physically runs. What We Don&apos;t Expect on Day OneYou don&apos;t need to arrive knowing Microsoft Fabric and Power BI, semantic modelling, or Git-based workflows. We&apos;ll help you get there quickly. We&apos;re hiring for judgement, curiosity and drive. This Probably Isn&apos;t for You If<ul><li>You need clean, modelled data before you can start.</li><li>You&apos;d prefer no contact with clients or the business behind the numbers.</li><li>You&apos;re most comfortable with a clearly defined task list and frequent check-ins.</li></ul> The Practical Stuff<ul><li>Location: Brisbane or Melbourne. We work from the office five days per week. If you&apos;re based outside these cities, we&apos;re open to discussing remote arrangements for the right person.</li><li>Travel: Occasional client site visits, including regional and industrial sites.</li><li>Salary: $110,000&#x2013;$130,000 per year plus superannuation, commensurate with experience.</li><li>Employment type: Full-time, permanent.</li></ul>

Data Engineer

Data EngineeringWe are hiring on behalf of one of our clients for a Data Engineering opportunity in Australia. This opportunity is open to students, recent graduates, and professionals who want to work with data infrastructure, build dependable data workflows, and contribute to the systems that power analytics and business applications. Position: Data Engineering Intern Location: Australia | Remote Role OverviewIn this role, you will help turn data from different sources into structured, usable information. You will be involved in data ingestion, transformation, storage, quality checks, and workflow automation while working alongside teams that rely on accurate and accessible data. Core Areas<ul><li>Data ingestion and transformation</li><li>Pipeline design and maintenance</li><li>Database and warehouse operations</li><li>Data quality management</li><li>Automation and cloud-based workflows</li></ul> Your Responsibilities<ul><li>Build and maintain workflows that move data between operational systems, databases, and analytical environments.</li><li>Connect data from APIs, files, applications, databases, and other business sources.</li><li>Develop SQL queries for data extraction, transformation, reconciliation, and analysis.</li><li>Assist in creating reliable ETL and ELT processes for scheduled and recurring workloads.</li><li>Transform raw information into structured datasets suitable for reporting and analytical applications.</li><li>Monitor scheduled pipelines and investigate failures, incomplete loads, and data processing issues.</li><li>Carry out validation checks to identify unusual records, missing information, duplicates, and inconsistencies.</li><li>Support the organisation of tables, schemas, and datasets within relational database environments.</li><li>Contribute to data warehouse and data lake development according to project requirements.</li><li>Help improve pipeline efficiency by reviewing query performance and processing workflows.</li><li>Assist with integrating data across different business platforms and technical environments.</li><li>Maintain technical documentation covering schemas, data flows, transformations, and dependencies.</li><li>Support the automation and scheduling of repeatable data engineering processes.</li><li>Work with analysts and data science teams to understand how datasets need to be prepared and delivered.</li><li>Investigate data-related technical issues and assist with resolving pipeline and database problems.</li><li>Contribute ideas for improving data availability, reliability, scalability, and maintainability.</li></ul> Essential Qualifications<ul><li>Knowledge of databases, data structures, and fundamental data engineering concepts.</li><li>Practical understanding of SQL and relational database systems.</li><li>Familiarity with Python or another programming language used in data workflows.</li><li>Understanding of ETL/ELT processes and data transformation.</li><li>Basic knowledge of APIs and methods of moving data between systems.</li><li>Awareness of data quality, validation, and consistency principles.</li><li>Strong logical thinking and troubleshooting abilities.</li><li>Comfortable working with technical documentation and structured information.</li><li>Ability to work collaboratively with engineering, analytics, and technical teams.</li></ul> Technical Advantage<ul><li>Exposure to Python tools such as Pandas, PySpark, or similar libraries.</li><li>Familiarity with Spark and distributed data processing.</li><li>Experience or coursework involving AWS, Azure, or Google Cloud.</li><li>Knowledge of platforms such as Snowflake, BigQuery, or Amazon Redshift.</li><li>Understanding of orchestration tools such as Apache Airflow.</li><li>Familiarity with Docker or other container technologies.</li><li>Experience using Git for version control and collaborative development.</li><li>Awareness of streaming technologies such as Kafka.</li><li>Knowledge of data modelling and database performance techniques.</li><li>Understanding of data security, governance, and privacy practices.</li><li>Professional proficiency in English; additional languages are an advantage.</li></ul> What This Opportunity Offers<ul><li>Remote exposure to data engineering projects supporting organisations in Australia.</li><li>Hands-on experience with data ingestion, transformation, storage, and pipeline workflows.</li><li>Opportunities to work across databases, cloud environments, and modern data technologies.</li><li>Experience supporting the infrastructure behind analytics and data-driven applications.</li><li>Exposure to different data sources, architectures, and engineering challenges.</li><li>Opportunity to develop stronger programming, SQL, and data engineering capabilities.</li><li>Project experience that can add value to a professional Data Engineering portfolio.</li></ul>

Data Engineering Intern

Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We&apos;re deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We&apos;re a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We&apos;re searching for passionate individuals eager to contribute to Alpaca&apos;s rapid growth. If you align with our core values&#x2014;Stay Curious, Have Empathy, and Be Accountable&#x2014;and are ready to make a significant impact, we encourage you to apply. Your Role: The Alpaca Crypto team is a 100% distributed and remote team. This role will report directly to the Global Director of Crypto Operations. Things You Get To Do: <ul><li>Primary responsibility for the daily monitoring and surveillance of all customer activity</li><li>Primary responsibility for daily operational tasks including trading, new accounts, and cash management functions;</li><ul><li>Cryptocurrency trading executions and exceptions (errors, corrections, etc.)</li><li>Assist with customer onboarding, including KYC and account approval</li><li>Review of general ledger accounts, identify and reconcile account discrepancies</li></ul><li>Support the Anti-Money Laundering Program and investigations that result from suspected suspicious activity </li><li>Proactively drive impactful changes across workflows, policies and tools </li><li>Clearly communicate with internal and external partners in an effective, tactical, and insightful manner</li><li>Ad hoc duties and projects as assigned </li><li>Global remote location, core time around 9am to 5pm PT (working hours: 8 hours per day, holidays follow the US market holidays) </li></ul>Who You Are (Must-Haves): <ul><li>Excited about what Alpaca is building!!</li><li>3+ years of relevant experience in a broker-dealer, financial services, trading or cryptocurrency operations role</li><li>Bachelor&apos;s degree or equivalent experience</li><li>Familiarity with cryptocurrency, or strong desire to learn</li><li>Work effectively and supportively within a team environment as well as work independently</li><li>Strong attention to detail and problem-solving skills, with the ability to thrive in a fast-paced environment</li><li>Must possess the ability to adapt to a rapidly changing business and regulatory environment</li><li>Enjoys challenges and taking ownership of new responsibilities</li><li>Inspired by Alpaca&#x2019;s mission and enthusiastic about supporting our customer base and growing the platform </li></ul>Who You Might Be (Nice-to-Haves): <ul><li>Startup mindset for a fast paced, high growth environment</li><li>Familiarity or interest in: FinTech, financial markets, cryptocurrencies, investing applications </li></ul>How We Take Care of You: <ul><li>Competitive Salary &amp; Stock Options</li><li>Health Benefits</li><li>New Hire Home-Office Setup: One-time USD $500</li><li>Monthly Stipend: USD $150 per month via a Brex Card </li></ul>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Crypto Operations Associate - APAC

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Marketing &amp; Data Analyst based in Australia. This is a hands-on analytics role responsible for connecting marketing performance, product behavior, and customer retention data. You will own reporting and tracking across acquisition channels and help ensure business decisions are based on accurate, reliable information. The role spans the full customer journey, including acquisition, funnels, conversion, subscriptions, retention, and lifetime value. You will combine analytical expertise with technical tracking skills across tools such as GTM, GA4, Mixpanel, BigQuery, and marketing platforms. You will investigate discrepancies, troubleshoot tracking issues, and continuously improve data quality across reporting systems. Your analysis will help marketing, product, and business teams identify opportunities, evaluate experiments, and improve performance. The position is ideal for an independent, detail-oriented analyst who enjoys working at the intersection of data, technology, and growth. Accountabilities <ul><li>Own marketing and product analytics, tracking, and reporting across acquisition channels.</li><li>Analyze performance throughout the customer journey, from acquisition and funnel conversion through subscription performance, retention, and lifetime value.</li><li>Track and analyze key metrics including CAC, ROAS, conversion rate, LTV, cohorts, rebills, cancellations, refunds, and churn.</li><li>Identify performance trends, changes, anomalies, and opportunities for improvement.</li><li>Translate complex datasets into clear reports and actionable insights for marketing, product, and business teams.</li><li>Analyze user behavior and acquisition funnels to identify conversion opportunities.</li><li>Evaluate A/B tests across landing pages, pricing structures, and customer journeys.</li><li>Assess experiment results and communicate findings to relevant stakeholders.</li><li>Monitor attribution across Meta, Google, internal data sources, and other acquisition platforms.</li><li>Investigate discrepancies between marketing platforms and internal reporting systems.</li><li>Improve attribution consistency and help ensure business teams rely on appropriate data for decision-making.</li><li>Set up, maintain, and troubleshoot tracking through Google Tag Manager.</li><li>Configure and manage Meta and Google pixels, Conversion APIs, and related marketing integrations.</li><li>Support both client-side and server-side event tracking.</li><li>Implement and troubleshoot event deduplication processes.</li><li>Maintain integrations between analytics and marketing platforms.</li><li>Proactively monitor data quality and consistency across reporting systems.</li><li>Investigate and resolve tracking and data discrepancies before they affect business decisions.</li><li>Work with large marketing and customer datasets to identify meaningful patterns and business opportunities.</li><li>Continuously improve analytics, reporting, and tracking processes as the business and acquisition channels evolve. </li></ul>Requirements <ul><li>3+ years of professional experience in marketing analytics, product analytics, data analytics, or a related field.</li><li>Strong hands-on experience with Mixpanel, GA4, or comparable analytics platforms.</li><li>Experience analyzing funnels, events, user behavior, conversion rates, and customer journeys.</li><li>Strong practical experience with Google Tag Manager, including event setup and debugging.</li><li>Experience with web and server-side tracking implementations.</li><li>Hands-on experience with Meta and Google pixels and Conversion APIs.</li><li>Experience integrating analytics and marketing platforms.</li><li>Strong understanding of attribution across paid media platforms and internal data sources.</li><li>Solid knowledge of CAC, ROAS, conversion rate, LTV, retention, churn, cohorts, rebills, cancellations, refunds, and subscription performance.</li><li>Hands-on experience working with BigQuery, GCP, and large marketing or customer datasets.</li><li>Strong SQL skills for querying and analyzing data.</li><li>Strong proficiency with Google Sheets and/or Microsoft Excel.</li><li>Strong attention to detail and commitment to data accuracy.</li><li>Ability to independently identify, investigate, and resolve data and tracking issues.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to translate complex analytical findings into clear, actionable business recommendations.</li><li>Strong communication skills and ability to collaborate with marketing, product, and business stakeholders.</li><li>Comfortable working independently in a hands-on, fast-moving environment.</li><li>Experience in telehealth, healthcare, or another subscription-based health business is a plus.</li><li>Understanding of healthcare marketing and data compliance is advantageous.</li><li>Experience with Tableau or Looker Studio is a plus.</li><li>Familiarity with TikTok, Snapchat, or other paid media tracking platforms is beneficial.</li><li>Experience with affiliate tracking or Everflow is an advantage. </li></ul>Benefits <ul><li>Full-time position.</li><li>Remote work arrangement.</li><li>Working hours from 14:00 to 22:00 EEST (Kyiv time).</li><li>Opportunity to own analytics across marketing, product, acquisition, and retention.</li><li>Hands-on role with significant responsibility for tracking, reporting, and data quality.</li><li>Opportunity to work with modern analytics, attribution, tracking, and marketing technologies.</li><li>Direct impact on marketing and business decision-making through actionable data insights.</li><li>Opportunity to work in a fast-growing telehealth environment.</li><li>Application review within five working days, with shortlisted candidates contacted to arrange an introductory call. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Marketing & Data Analyst

About Us At Officeworks, we bring big ideas at low prices to life for our customers, team, communities, and stakeholders. Founded in 1994 in Richmond Victoria, with more than 170 stores nationwide, a digital platform offering over 40,000 products, a national call centre and a dedicated business solutions team supporting micro, small and medium-sized businesses start, run and grow , we help Australians work, learn, create and connect, wherever and however they choose to shop. From technology, office supplies and furniture to education, art materials and essential services like Print &amp; Create and on&#x2011;site or remote tech support through Geeks2U, we deliver easy, engaging customer experiences every day. Our success is powered by more than 9,000 passionate team members. We are deeply committed to their safety, wellbeing, and career growth, while operating responsibly, giving back to the communities we serve through strong national and local partnerships, community fundraising, and a clear commitment to reducing our environmental impact and sourcing sustainably for the future. About The Role Are you passionate about using data and insights to shape business strategy? As our Senior Network Strategy Partner, you&apos;ll play a critical role in influencing the future of the Officeworks property network. This is an exciting opportunity to combine commercial thinking, advanced analytics, and strategic planning to optimise our national footprint and support major investment decisions across all our property assets, from stores, to supply chain and our local and global support offices. Working closely with Property, Finance, Operations and Executive leaders, you&apos;ll provide the insights that drive store growth, network performance, space optimisation, and long-term portfolio strategy. Through predictive modelling, spatial analytics, and modern reporting tools, you&apos;ll help ensure every property asset, square metre, and investment decision delivers maximum value. Where you&apos;ll make a difference <ul><li>Lead the strategic optimisation of the Officeworks property network, identifying opportunities for growth, relocation, re-negotiation and portfolio enhancement. </li><li>Analyse network performance, space productivity, and market trends to inform commercial and investment decisions. </li><li>Develop predictive models and insights that support store planning, revenue growth, and portfolio performance. </li><li>Assess demographics, trade areas, competitors, and customer demand to identify opportunities and risks. </li><li>Create dashboards and automated reporting solutions that deliver actionable insights to stakeholders. </li><li>Provide analytical support for business cases, capital investments, lease renewals, refurbishments, and new store opportunities. </li><li>Partner with Property, Finance, Operations, and Executive leaders to influence strategic decision-making. </li><li>Present data-driven recommendations and market insights to senior leaders and executive stakeholders. </li></ul>About You You&apos;ll be a commercially minded analytics professional who enjoys solving complex business problems and influencing strategic decisions through data. You&apos;ll bring: <ul><li>Experience in network planning, property analytics, strategy, commercial analytics, retail analytics, and / or business intelligence. </li><li>Strong analytical and modelling capability with the ability to translate data into meaningful business insights. </li><li>Advanced skills in Power BI, analytics, forecasting, or spatial/GIS tools. </li><li>Excellent stakeholder management skills, with confidence presenting insights to and influencing senior leaders. </li><li>A curious mindset and a passion for using data to drive tangible business outcomes. </li></ul>Why Officeworks? You&apos;ll join a collaborative and forward-thinking team where your insights will help shape the future of one of Australia&apos;s leading retail networks. If you&apos;re excited by the opportunity to influence major business decisions through data-driven strategy, we&apos;d love to hear from you. Our culture Benefits If you&#x2019;re searching for an organisation that&#x2019;s truly committed to its people, where you can thrive in a culture of togetherness, then join Officeworks and let&#x2019;s make bigger things happen &#x2013; for all of us! We celebrate our teams&#x2019; uniqueness by offering genuine team member benefits to the Officeworks family: <ul><li> We&#x2019;re all about giving you the flexibility you need to keep things balanced to suit your individual needs. </li><li> Enjoy generous discounts across Officeworks, Geeks2U, Bunnings, Kmart, Target and the wider Wesfarmers brands. </li><li> Access to our Officeworks benefits program for exclusive discounts and perks across entertainment, travel, lifestyle, and health. </li><li> Our Growing Families Policy supports team members during the exciting and challenging times of expanding their family </li><li> We prioritise safety, mental health and wellbeing, offering access to our Employee Assistance Program (EAP) as well as other ongoing programs </li><li> OurFlexible Public Holidays Policy supports those who observe cultural or religious holidays different from the standard public holidays in Australia </li><li> Take advantage of outstanding learning and development programs to support your career growth </li><li> Explore fantastic career opportunities across the broader Wesfarmers Group. </li></ul>At Officeworks, we operate best when our team represents the communities we serve. We proudly commit to providing a safe and supportive work environment for our team. We encourage applications from all candidates of all ages, cultures (including Aboriginal and Torres Strait Islander peoples), people with disabilities, and the LGBTQI+ community.

Senior Network Strategy Partner

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid Data Scientist based in Australia. This role offers the opportunity to turn complex data into actionable insights and measurable business value. You will develop analytical and machine learning solutions across a variety of projects and business contexts. Working alongside diverse Data teams, you will take models from exploration and experimentation through validation and production. The position combines statistical analysis, machine learning, data visualization, and emerging MLOps practices. You will collaborate with both technical and non-technical stakeholders, translating complex findings into clear recommendations. It is an environment where ownership, adaptability, and practical problem-solving are highly valued. Accountabilities As a Mid Data Scientist, you will own key parts of the analytical and machine learning lifecycle, from exploring data and engineering features to developing, evaluating, and supporting production-level models. You will work collaboratively across Data teams while ensuring that solutions are technically sound, reliable, and aligned with business needs. <ul><li>Conduct exploratory data analysis to identify patterns, trends, anomalies, and opportunities.</li><li>Perform feature engineering and prepare high-quality datasets for analytical and machine learning use cases.</li><li>Build, train, tune, and validate supervised and unsupervised machine learning models.</li><li>Apply statistical and probabilistic methods, including hypothesis testing, inference, and distribution analysis.</li><li>Define appropriate evaluation metrics and validation strategies, including cross-validation and overfitting analysis.</li><li>Use experimentation and model management tools such as MLflow, Weights &amp; Biases, or Databricks ML.</li><li>Analyze and query data using SQL.</li><li>Develop clear and informative data visualizations using Matplotlib, Seaborn, Plotly, and BI platforms such as Power BI or Tableau.</li><li>Apply MLOps fundamentals, including model versioning, model registries, and deployment lifecycle practices.</li><li>Work with cloud-based machine learning platforms such as Azure ML, AWS SageMaker, or Google Cloud Vertex AI.</li><li>Communicate analytical findings and technical insights clearly to both technical and non-technical stakeholders.</li><li>Collaborate with Data teams to integrate analytical solutions effectively across projects.</li><li>Take ownership of model quality, reliability, and the overall analytical lifecycle.</li><li>Adapt analytical approaches and models to changing datasets, requirements, and project objectives.</li><li>Proactively identify problems and communicate solutions in a structured, value-oriented manner. </li></ul>Requirements The ideal candidate brings solid professional experience in data science, strong Python and machine learning capabilities, and the ability to translate analytical work into practical outcomes. You should be comfortable working independently while collaborating closely with multidisciplinary teams and communicating technical concepts to diverse audiences. <ul><li>3&#x2013;5 years of professional experience in data science or a closely related environment.</li><li>Experience building and deploying production-level machine learning models.</li><li>Degree in Mathematics, Computer Science, Machine Learning, or a related field.</li><li>Strong proficiency in Python, including NumPy, pandas, and scikit-learn.</li><li>Basic knowledge of PyTorch or TensorFlow.</li><li>Strong experience with exploratory data analysis and feature engineering.</li><li>Solid understanding of statistics and probability, including hypothesis testing, inference, and distributions.</li><li>Experience with supervised and unsupervised machine learning, including model tuning and validation.</li><li>Strong understanding of model evaluation, cross-validation, performance metrics, and overfitting.</li><li>Proficiency in SQL for data analysis and querying.</li><li>Familiarity with ML experimentation tools such as MLflow, Weights &amp; Biases, or Databricks ML.</li><li>Basic familiarity with cloud ML platforms such as Azure ML, AWS SageMaker, or GCP Vertex AI.</li><li>Experience with data visualization tools including Matplotlib, Seaborn, Plotly, Power BI, or Tableau.</li><li>Understanding of fundamental MLOps concepts, including model registries, versioning, and deployment lifecycles.</li><li>Strong analytical thinking and problem-solving skills.</li><li>Ability to explain technical concepts and insights clearly to technical and non-technical audiences.</li><li>Collaborative mindset and ability to work effectively across multiple Data teams.</li><li>Structured, adaptable, and value-oriented approach to solving problems.</li><li>Strong sense of ownership and attention to model quality and reliability.</li><li>Proactive communication skills.</li><li>English proficiency at a minimum B2 level. </li></ul>Benefits <ul><li>100% remote work opportunities.</li><li>Flexibility to work from the location where you are most comfortable and productive.</li><li>International career opportunities and exposure to global projects.</li><li>Collaboration with teams and projects across multiple international markets.</li><li>Professional growth in a dynamic and collaborative technology environment.</li><li>Opportunity to work on diverse Data, analytics, and machine learning projects.</li><li>Health insurance.</li><li>Life insurance.</li><li>International and multicultural working environment.</li><li>Support for eligible employees relocating from outside the European Union through the company&apos;s Tech Visa framework. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mid Data Scientist

Seeq builds advanced analytics software that unlocks insights from industrial process data, empowering companies in sectors like pharmaceuticals, oil &amp; gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we&apos;re built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You&apos;ll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties &amp; Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption <ul><li>Serve as the customer&apos;s trusted technical advisor by building relationships with champions and end-users through solution review, implementation guidance, and technical mentorship</li><li>Leverage customer relationships to uncover high-value, high-impact use case opportunities directly linked to the customer&apos;s critical business workflows and objectives</li><li>Collaborate with the customer and the account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives</li><li>Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer </li></ul>Product Expertise <ul><li>Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform</li><li>Identify gaps in Seeq&apos;s capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap</li><li>Work with the product team to implement and test new functionalities that meet customer needs </li></ul>Industry Expertise <ul><li>Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. </li><li>Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy </li></ul>Requirements <ul><li>Bachelor&apos;s degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered</li><li>Minimum of 2 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields</li><li>Experience in one or more industrial process manufacturing verticals and a working understanding of broad market drivers and business priorities</li><li>Examples of industrial process industries are oil &amp; gas, chemicals, pharmaceuticals, power &amp; utilities, metals &amp; mining, food &amp; beverage, pulp &amp; paper, etc</li><li>Understanding of the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise</li><li>Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams</li><li>Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts and managers</li><li>Ability to consult on technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus</li><li>Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives</li><li>Prior experience using Seeq is a plus</li><li>Python programming skills is a plus</li><li>Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.) </li></ul>Benefits About Seeq Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers&apos; expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine&apos;s Best Places to Work.

Analytics Engineer

The Role As Data Scientist in Linktree&#x2019;s Office of the Founder, you&#x2019;ll be the analytical partner to the decisions that set our direction. You&#x2019;ll turn a business that serves tens of millions of creators and billions of visitors into a set of numbers leadership can plan against &#x2014; forecasting where we&#x2019;re heading, pressure-testing the bets we&#x2019;re making, and creating clear accountability to the plans we commit to. Most of all, you&#x2019;ll help Linktree achieve our mission: To empower anyone to curate and grow their digital universe. You&#x2019;ll work on the questions that don&#x2019;t have an owner yet. Some weeks that means building a driver-based model of revenue growth; other weeks it means giving a founder a defensible answer in 48 hours to a question nobody has asked before. You&#x2019;ll decide which of those the moment calls for, and you&#x2019;ll be explicit about what your numbers can and can&#x2019;t support. You&#x2019;ll sit close to the executive team while staying hands-on across our data stack, building the datasets, models and forecasts you need rather than waiting for someone else to. You will work 3 days per week from our Melbourne or Sydney office, and 2 days per week from home. What You&#x2019;ll Own <ul><li>You&#x2019;ll help founders and executives shape strategy by identifying opportunities, framing key questions and recommending where to focus</li><li>You&#x2019;ll assess strategic investments, partnerships, quantify trade-offs and recommend what to pursue, test, scale or stop</li><li>You&#x2019;ll define success measures with Finance and functional leaders, hold teams accountable to agreed outcomes and recommend when to adjust course.</li><li>You&#x2019;ll build and own the datasets and models that quantify company performance, rather than waiting for another team to prepare them;</li><li>You&#x2019;ll influence executive and board decisions through clear recommendations and constructive challenge, explaining the assumptions and limits of the evidence.</li><li>You&#x2019;ll raise the analytical bar across the company, evangelising good practice on metrics, forecasting and statistical rigour; </li></ul>Who We&#x2019;re Looking For <ul><li>You have at least 5 years of relevant experience as a Data Scientist or in a comparable analytical role in a high-growth technology company;</li><li>You have a track record of shaping strategic direction with founders and executives, and can point to decisions your analysis changed</li><li>You have built driver-based forecasts or operating models, and held yourself accountable to their accuracy;</li><li>You&#x2019;re hands-on across SQL and a modern analytics stack, and comfortable building your own pipelines and datasets;</li><li>You have at least a Bachelor&#x2019;s degree in mathematics, statistics, economics, computer science or a related discipline;</li><li>You can hold a clear point of view with senior stakeholders, and change your mind when the data says so;</li><li>You thrive in ambiguity, and you&#x2019;re comfortable being the first person to work on a question;</li><li>You can work from our Melbourne or Sydney office 3 days per week. </li></ul>Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. P.S. If you don&#x2019;t tick every box in this listing, please don&#x2019;t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes &#x2013; so if this role resonates with you, hit that apply button! Our Story We&#x2019;re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the &#x201C;link in bio&#x201D; category &#x2014; and we&#x2019;re just getting started. From creators, artists, and entrepreneurs to global brands, we&#x2019;re redefining how people connect with their communities, showcase their content and promote products &#x2014; all in one link. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. We&#x2019;ve teamed up with some of the world&#x2019;s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers&#x2019; digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love. We&#x2019;re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you&apos;re excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we&#x2019;d love to meet you. Where And How We Work We&apos;re a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home. We offer autonomy in how you structure your days and weeks. While we&#x2019;re mindful of time zones and occasionally collaborate outside the typical 9&#x2013;5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome. How We&#x2019;ll Help You Thrive Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you: <ul><li>An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!</li><li>100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.</li><li>Employer contribution towards your retirement.</li><li>Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.</li><li>Employee stock option program - we want each and every employee to share in the company&#x2019;s success. </li></ul>At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we&#x2019;re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don&apos;t hesitate to reach us at talent@linktr.ee &#x2013; your needs are important to us.

Staff Data Scientist, Office of the Founders

<h3>Who are we?</h3>
At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.
We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.
We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.
Our product is central to that next chapter. We're investing heavily in new products and features, with an exciting roadmap to keep building out UpGuard's best-in-class platform. In an era where third-party risk is more complex than ever, we maintain a highly collaborative, consultative culture that puts the customer's security posture above all else.
Where does this role fit in?
As UpGuard continues its rapid growth trajectory, we are seeking an experienced data scientist to support our Product team. Reporting to the Director of Analytics, this critical role is responsible for driving significant business value by quantifying product performance, illuminating what good engagement and adoption look like across the platform, and translating ambiguous product questions into durable data models and insights. This role will partner closely with Product Managers, Operations, Design, and Engineering to help the Product team define KPIs and milestones, understand what's working, and see how usage translates into retention and growth — while also acting as the interface between Product and Sales/CS to drive adoption of what's being built.
This is an autonomous, lead role: you'll own product analytics end-to-end, supporting UpGuard's product portfolio across both established and emerging product lines.
This is a ground-up build: the models and metric definitions this person creates will form the governed semantic layer that both humans and AI/agentic analytics tools query, so clarity and rigor in the modelling layer compounds directly into AI-enabled self-service.

<h3>What will you do?</h3>
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Actionable Insight: Generate compelling and actionable insights from complex, multi-source product and usage data sets that directly inform roadmap prioritisation, feature investment, and engagement strategy.
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Stakeholder Engagement: Establish strong collaborative relationships with Product Managers, Operations, Design, Engineering and Success, delivering high-impact analytics initiatives that translate loose, evolving requirements into clear deliverables.
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KPI &amp; Milestone Definition: Design, define, and maintain the product KPIs and engagement milestones for UpGuard – from activation and onboarding through to what "good" ongoing engagement looks like – and clearly communicate the trade-offs and assumptions behind each definition.
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Product &amp; Feature Analytics: Develop a deep, first-principles understanding of the product funnel across onboarding, activation, feature adoption, and retention, and build the metrics, models, and dashboards that let PMs and feature owners self-serve their performance.
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Data Products: Partner with the data engineering team to design, construct, and maintain foundational product and usage data assets – translating loose product requirements into well-specified dbt models and a governed semantic/metrics layer that both humans and AI agents can reliably query and traverse.
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Business Intelligence: Partner strategically with Product stakeholders to provide robust self-service and conversational and agentic analytics capabilities, using design thinking principles to build user-friendly dashboards for engagement health, feature adoption, and activation performance.
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Deep Dive Analysis: Personally conduct thorough, hands-on, technical analysis to diagnose and solve the most significant product challenges – from onboarding drop-off and feature underperformance to engagement decay and churn risk.
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Commercial &amp; Adoption Analysis: Act as the connective tissue between Product and Sales/CS, translating product usage and engagement signals into adoption plays, health scores, and expansion/renewal risk signals in ways that Sales, CS, and the executive team trust.
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<h3>What will you bring?</h3>
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Proven Experience: 4+ years delivering analytics solutions for Product teams within a high-growth SaaS company.
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Product Domain Knowledge: Strong working knowledge of product analytics – activation, engagement, feature adoption, and retention – including how KPIs and milestones are defined, instrumented, and measured, and fluency in translating engagement data into a north star metrics framework.
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Statistical Rigor: Comfort with core statistical reasoning — significance, confidence, sample size, variance, and the risk of misleading metrics from small or noisy cohorts — applied to keep KPI definitions and dashboards honest.
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Sales &amp; CS Fluency: Understanding of how product usage and engagement signals are consumed by Sales and Customer Success – health scores, expansion signals, renewal risk, and adoption plays – and how to package product data for those audiences.
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Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving product requirements from PMs, Operations, Design, and Engineering and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.
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Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, Omni, Looker).
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Exceptional Business Acumen: Ability to quickly understand complex product and business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
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Communication &amp; Influence: Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including KPI definitions and engagement trade-offs – to both technical and non-technical audiences and influence decision-making.
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Strategic &amp; Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with product and business objectives.
</li>
<li>
Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.
</li>
<li>
AI Fluency: Fluency leveraging AI/LLM tools to accelerate analysis, code development, and documentation.
</li>
</ul>
<h3>What will give you an edge?</h3>
<ul>
<li>
Data Science / AI Engineering: Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure ing, engagement scoring, causal inference techniques, or building/evaluating the tool-calling and retrieval layers that let LLM agents query structured business data.
</li>
<li>
Product Tech Stack: Hands-on experience with product analytics and CS tools such as Segment, Mixpanel, Amplitude, HubSpot, and Salesforce, and an understanding of how their data shapes downstream analytics.
</li>
<li>
SaaS Metrics Fluency: Strong grasp of core B2B SaaS metrics – NRR/GRR, activation and time-to-value, product-qualified leads, expansion and churn drivers – and how to connect product engagement data to these outcomes.
<h3>What's in it for you?</h3>
<ul>
<li>
Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
</li>
<li>
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
</li>
<li>
$1500 USD annual Learning &amp; Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
</li>
<li>
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
</li>
<li>
18 weeks paid Parental Leave: Irrespective of parenting role
</li>
<li>
Personal Leave Allowance: This includes sick &amp; carer’s leave
</li>
<li>
Fully remote working environment: While we have physical offices in Sydney &amp; Hobart, we do not mandate compulsory attendance
</li>
<li>
Top-spec hardware: All team members will be provided with top-spec laptops for their role
</li>
<li>
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
</li>
<li>
Stock Options: Share in UpGuard's growth and long-term success.
</li>
</ul>
</li>
</ul>
UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work! Apply now to find out why!
As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Please Note: Not all roles can be performed from the United States. Please check your specific job listing to confirm its advertised location. If the role you are applying for is listed as based in the US, we are currently only able to support hiring in the following locations: CA, CO, FL, IL, LA, MA, MD, MO, OR, PA, TX, WA, and DC.
Before starting work with us, you will need to undertake a national police history check and reference checks. Also, please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.

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