Mid-Level Data Analyst – Sports Team
Posted 37ds ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Analyst responsible for product analytics and experimentation in sports, uncovering growth opportunities through data-driven insights.
Responsibilities:
- Conduct deep-dive analysis of user journeys.
- Identify growth and monetization opportunities.
- Refine product hypotheses.
- Define measurable goals and success metrics.
- Build experiment plans and evaluation logic.
- Conduct A/B test and feature impact evaluation.
- Perform pre/post analysis.
- Measure uplift.
- Perform segmentation.
- Interpret results and trade-offs.
- Design, build, and maintain Tableau dashboards.
- Develop and maintain self-service reporting for product and business stakeholders.
- Define and monitor core KPIs (conversion funnels, retention cohorts, ARPU/LTV proxies, sportsbook activity and engagement metrics).
- Ensure metric consistency (“single source of truth”).
- Turn analysis into actionable recommendations, including clear insights, next steps, and expected impact.
Requirements:
- 2+ years of experience as a Data Analyst / Product Analyst in a product environment.
- Strong SQL skills (data extraction, joins, window functions, cohorting, funnel analysis).
- Solid understanding of product metrics and frameworks: funnels & conversion, retention, engagement, churn, LTV, unit economics, cohort analysis.
- Experience partnering with Product Managers: translating hypotheses into measurable metrics, defining success criteria, building analytical approaches.
- Hands-on experience with BI tools (preferably Tableau) and best practices in dashboard design.
- Confident Excel / Google Sheets skills (analysis, pivot tables, basic modeling).
- Basic knowledge of probability and statistics (confidence intervals, significance, distributions).
- English: Intermediate+ (written and spoken).
- Practical experience with A/B testing: experiment design, sample size intuition, guardrail metrics, interpretation, post-analysis.
Benefits:
- Benefits Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages.
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.

















