Mid-Level Data Analyst – Sports Team

Posted 2 weeks ago

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About the role

  • 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.

Job title

Job type

Full Time

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

SQLTableau

Location requirements

RemoteWorldwide

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