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Description
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What you will be doing
- Build and refine activation metrics to identify growth opportunities and inform decision-making.
- Develop dashboards, data structures, data quality checks, and scalable solutions to make activation insights widely accessible.
- Translate business questions into analytical frameworks, generating hypotheses and actionable recommendations.
- Partner closely with product, marketing, risk, and engineering teams on strategic initiatives and ad hoc analyses.
- Design, execute, and analyze A/B and multivariate experiments to optimize onboarding flows, funnels, and early-lifecycle journeys.
- Lead complex test designs (e.g., holdouts, phased rollouts) and validate assumptions.
- Architect end-to-end analytical pipelines across SQL, Python, and BI layers.
- Create clear, executive-ready visualizations and reports that drive product decisions.
What you will need
- 4+ years of experience as a Data or Product Analyst, ideally in fintech or consumer digital products.
- Proven expertise designing and running A/B tests, including statistical methods and result interpretation.
- Advanced SQL and relational database proficiency.
- Strong experience with Tableau (or similar BI tools).
- Experience designing data structures and event tracking for new products and features.
- Strong Python skills (Pandas, NumPy, Statsmodels, Matplotlib, etc.).
- Structured problem solver with strong quantitative skills and root-cause analysis capability.
- Ability to frame ambiguous problems, quantify impact, and recommend product actions.
- Excellent communication skills with experience influencing product decisions.
Nice to have
- Experience prototyping ML models (e.g., scikit-learn).
- Background in behavioral analytics, funnel optimization, or user segmentation.
- Experience mentoring analysts or contributing to hiring/training.
Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
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