Middle Data Analyst for Sport Team
Inactive
G
GR8 TechIGaming
Location: AnywhereFull-TimeMiddle
This job is no longer active. We keep the page for reference, but the employer may not accept new applications.
Salary not disclosed
Job Details
- Languages
- English: Intermediate+ (written and spoken)
- Experience
- 2+ years of experience as a Data Analyst / Product Analyst
- Required Skills
- PythonSQLGitTableauMicrosoft ExcelA/B testingGoogle Sheetsdbt
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.
- Python for analysis (pandas, numpy, matplotlib / plotly) and automation of repetitive analisys (nice-to-have).
- Experience with Git and versioning analytical artifacts (SQL, dbt, dashboards documentation) (nice-to-have).
Responsibilities
- Drive data-informed decision-making within the Sportsbook product by uncovering growth and monetization opportunities through deep product analytics and experimentation.
- Conduct deep-dive analysis of user journeys.
- Identify growth and monetization opportunities.
- Build experiment plans and evaluation logic.
- Conduct A/B test and feature impact evaluation.
- Perform pre/post analysis and measure uplift.
- 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).
- Turn analysis into actionable recommendations, including clear insights, next steps, and expected impact.