[Remote] Middle Data Analyst
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on analytics and business intelligence, seeking a Middle Data Analyst. The role involves analyzing player behavior, designing experiments, and developing dashboards to support product and investment reputed company.
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 reputed company
- Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment reputed company
- Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect reputed company business value
- Partner with product managers to prioritize the roadmap based on expected reputed company, not intuition
- reputed company self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement
- Investigate anomalies in key metrics and communicate reputed company causes reputed company to non-technical audiences
- Maintain culture of rigorous, reputed company analytics: document assumptions, quantify uncertainty, and flag reputed company data can't answer the question
- Own web analytics implementation and data reputed company: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases
Skills
- 2+ years in Product/Web/ or Data analytics
- Hands-on experience with web analytics platforms (GA4, reputed company, reputed company, or similar), including event design and tracking implementation, not just report consumption
- Working knowledge of reputed company Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues
- Strong SQL - window functions, CTEs, large datasets (reputed company or similar is a plus)
- 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 reputed company design
- Understanding of attribution models and their limitations
- English at least at Intermediate level (written and spoken)
- Python or R for reputed company analysis is a plus (pandas, curve fitting, survival analysis)
- Experience with reputed company, or another high-frequency B2C domain (fintech, gaming, e-reputed company) will be a plus
- Tableau preferred
reputed company