- Leverage data analytics and machine learning techniques to inform product development, optimize user experiences, and drive key performance metrics such as user acquisition, engagement, retention, and growth
- Partner with Product, UX and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
- Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
- Conduct experiments, causal studies and A/B tests to measure the impact of product changes
- Leverage data to understand product performance and to identify improvement opportunities
- Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
- Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
- Think strategically on how to scale your work
- Identify areas for further investigation
- Drive data culture within the Product, UX and Engineering teams
PythonSQLMachine Learning+3 more