Senior Product Analytics
Tasks
- Analyze corridor and product level P and L
- Build and maintain product dashboards
- Build cross sell and propensity models
- Build multi step activation funnels
- Build user segmentation and value based segments
- Communicate insights and recommendations to stakeholders
- Conduct cohort retention and churn analytics
- Contribute to experimentation infrastructure and monitoring
- Define key metrics and measurement plans
- Design and measure A B experiments with statistical rigor
- Develop churn prediction and re engagement interventions
- Identify activation moment for retention prediction
- Own product analytics end to end by vertical
- Set up event instrumentation and baselines for launches
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | BI Dashboards | CTE | Churn Prediction | Cohort Analysis | Data Analysis | Data Modeling | Experimentation | Financial Data | Financial Data Analysis | Funnel Analysis | Looker | Metabase | P and L | P and L Analysis | Pandas | Power BI | Python | RFM | RFM Scoring | SQL | Scikit-learn | Segmentation | Significance Testing | Star Schema | Statistical significance | Statistical significance testing | Superset | Tableau | Transactional Data | Transactional Data Analysis | Unit economics | Window Functions
Education
N/A
Roles
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