📍 Location: New South Wales, Australia
💼 Experience Level: Entry / Junior Level
🌐 Work Arrangement: Remote / Flexible
📊💻 TURN DATA INTO INSIGHTS. TURN INSIGHTS INTO IMPACT!
We’re looking for a motivated and analytical Data Analyst to join our growing team. This is an exciting opportunity for a recent graduate, fresher, or junior professional who enjoys working with data, identifying trends, and helping teams make smarter decisions. 🚀
🎯 ROLE RESPONSIBILITIES✅ Collect, clean, organize, and validate business data
✅ Analyze datasets to identify trends, patterns, and opportunities
✅ Prepare reports, dashboards, and data visualizations
✅ Support business teams with data-driven insights
✅ Monitor key performance indicators and business metrics
✅ Assist with data quality checks and reporting processes
✅ Use spreadsheets and analytical tools to process information
✅ Present findings in clear and easy-to-understand formats
✅ Support ad-hoc analysis and business research projects
✅ Collaborate with different teams to understand data requirements
🎓 QUALIFICATIONS✔️ Degree, diploma, or equivalent qualification in Data Analytics, IT, Business, Mathematics, Statistics, Economics, or related field preferred
✔️ Basic understanding of data analysis and statistical concepts
✔️ Familiarity with Excel or Google Sheets
✔️ Knowledge of SQL, Power BI, Tableau, Python, or similar tools is an advantage
✔️ Strong analytical and problem-solving abilities
✔️ Excellent attention to detail and accuracy
✔️ Good communication and presentation skills
✔️ Curious mindset with a strong willingness to learn
🌟 WHY JOIN US?🚀 Entry-level opportunity to launch your data career
📈 Professional development and learning opportunities
💻 Flexible remote working environment
🤝 Supportive and collaborative team culture
📊 Hands-on experience with real business data
🔥 Opportunity to develop valuable analytical and technical skills
📩 APPLY NOW!🎯 Ready to turn your curiosity about data into a rewarding career?
👉 Send your CV today and take your first step toward becoming a Data Analyst!
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