We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.
With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.
Our ambition drives us. Our people make it real.
If you’re a challenger in spirit and a champion in action — join us.
Job Overview
- Job Types: Part-time, Full-time
- Work Setting: Work from home
- Location: Remote (Anywhere)
- Salary: Competitive Compensation
- Employer: GR8
Why this role exists
This role exists to drive data-informed decision-making within the Sportsbook product by uncovering growth and monetization opportunities through deep product analytics and experimentation. It ensures that product initiatives are measurable, insights are actionable, and key metrics remain consistent and reliable across the organization.
Responsibilities
Product Analytics & Experimentation
- 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.
BI, KPI & Insights
- 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
Must-have
- 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.
Nice-to-have
- Python for analysis (pandas, numpy, matplotlib / plotly) and automation of repetitive analisys.
- Experience with Git and versioning analytical artifacts (SQL, dbt, dashboards documentation).
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