We are seeking a Senior Data Analyst to build the analytical foundation for our next-generation consumer product (GoConsumer), a 0→1, AI-powered financial app that helps everyday earners improve their financial health. The role involves setting up our metric framework, instrumentation, dashboards, and experimentation engine from scratch, analysing millions of historical bank transactions, and partnering tightly with Product, Engineering, and Design to guide high-quality decisions.
Requirements
- 6+ years of experience in data analytics, data science, or quantitative product analysis
- Strong command of SQL, Python, and analytical/statistical toolkits
- Experience working with large-scale datasets, ideally financial, consumer, or behavioural
- Experience in consumer product companies — preferably fintech, gamification, or both
- Practical experience running A/B tests, causal inference basics, experiment design, and interpreting noisy behavioural data
- Comfortable partnering with ML/AI teams and analysing conversational or model-driven interactions
- Degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field (advanced degree strongly preferred)
- Skilled at balancing speed with rigour; able to move fast in 0→1 environments while maintaining analytical integrity
- Outcome-based thinker who uses the newest available tools to supercharge analysis
- Excellent communicator who can simplify complexity for teams across Product, Engineering, Design, and Exec
Benefits
- 20 to 25 days of holiday
- Monthly team outing allowance
- Office perks such as refreshments, breakfast, fruit, and snacks
- Meal card to enjoy a daily lunch allowance
- Well-being support with health allowance covers gym memberships, massages, and much more