Related skills
analytics sql python cohort analysis propensity modeling๐ Description
- Analyze multi-dimensional data to identify patterns, trends, and risk signals for lending
- Develop and maintain churn and propensity models to detect disengaged users
- Lead campaign analytics by building segments and measuring in-funnel conversion
- Partner with product teams to guide features using cohort analysis and retention trends
- Collaborate with cross-functional teams to build analytical solutions aligned with priorities
- Own end-to-end execution of strategic analytics initiatives from framing to impact tracking
- Support and mentor junior analysts to promote data hygiene and experimentation
๐ฏ Requirements
- 4+ years of hands-on data science/analytics experience solving real-world problems
- Bachelor's or master's in a quantitative field (engineering, stats, math)
- Strong analytical skills to interpret diverse data and translate insights
- Strong Python and/or SQL skills with large data handling and distributed computing
- Effective communicator; enjoy collaborating with cross-functional teams
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