People Analytics Data Analyst helping Dropbox improve hiring through Talent Acquisition metrics and workforce insights. Partnering with People teams and leaders to analyze complex data, improve efficiency, quality, and equity.
About the role
- Data Analyst analyzing player behavior and developing actionable insights for Growe's iGaming and entertainment clients. Designing dashboards and conducting A/B tests to improve product performance.
Responsibilities
- Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations
- Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact
- Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions
- Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value
- Partner with product managers to prioritize the roadmap based on expected impact, not intuition
- Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement
- Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences
- Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question
- Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.
Requirements
- 2+ years in Product/Web/ or Data analytics
- Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus)
- Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption
- Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues
- Solid grounding in statistics: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias)
- Experience with funnel analysis, cohort analysis, LTV and retention modeling
- Proficiency with a BI tool (Tableau preferred), including data source design
- Understanding of attribution models and their limitations
- Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis)
- English at least at Intermediate level (written and spoken)
- Experience with iGaming, or another high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus
Benefits
- Health & Wellness Focus
- Global Medical Coverage
- Growth Opportunities
- Benefits Programs (compensation for the gym/stomatology/psychological service & etc.)
- Performance-Driven Rewards
- Dynamic Work Environment
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