Your original wording can largely stay unchanged. LinkedIn requires a clear location and paid/unpaid status, so I added two bracketed fields for you to complete. Keep the $10M+ claim and both schedule options if accurate. Approval cannot be guaranteed from wording alone. linkedin.com
Revenue Operations Analyst
Remote | Part-Time or Full-Time
Location: [Eligible country/countries or region]
Compensation: [Confirm paid/unpaid status; include compensation range where required]
We are hiring a highly analytical Revenue Operations Analyst for a fast-growing education company generating $10M+ annually.
Your role is to give leadership clear, reliable insight into the revenue engine by owning dashboards, scorecards, funnel reporting, data accuracy and performance analysis.
You will help track the full funnel:
Paid Ads → Leads → Setters → Bookings / HOT Transfers → Sales Conversations → Sales → Upsells → Cash Collected
What You’ll Do
- Build and maintain revenue dashboards and scorecards
- Track targets, actuals, variance and trends
- Analyze funnel conversion rates
- Identify bottlenecks, anomalies and revenue leakage
- Report performance by channel, department and team member
- Investigate why revenue or conversion rates change
- Reconcile data across CRM, payment and marketing systems
- Improve data accuracy and standardize KPI definitions
- Automate recurring reporting where possible
- Prepare weekly revenue insights for leadership
Key Metrics
You may work with:
- Ad spend, CPL, CAC and ROAS
- Leads, bookings and show rate
- HOT transfer performance
- Close rate and offer rate
- Revenue per call
- Cash collected
- Sales by closer
- Backend / upsell revenue
- Revenue by campaign and source
- Team member performance
What We’re Looking For
You should be strong in:
- RevOps, Sales Ops or Revenue Analytics
- Google Sheets and/or Excel
- Advanced formulas and pivot tables
- Dashboard creation
- Funnel analysis
- Data cleaning and reconciliation
- KPI reporting
- Root-cause analysis
Experience with tools such as GoHighLevel, HubSpot, Salesforce, Looker Studio, Power BI, Tableau, SQL, Zapier, Make, Meta Ads or payment processors is highly valuable.
You do not need experience with every tool. We care most about your ability to turn messy data into clear, accurate insights leadership can act on.
Ideal Candidate
You are:
- Highly analytical
- Detail-oriented
- Commercially minded
- Proactive
- Comfortable questioning numbers
- Strong at identifying inconsistencies
- Able to explain data simply to senior management
Schedule
- Part-Time: approximately 20 hours per week
- Full-Time: approximately 35–40 hours per week
Fully remote.