Data Analyst
16 JUL 2026
Data Analyst We believe that great careers and thriving teams grow through meaningful connections, and we’re here to match you with opportunities that fuel ambition and roles that unlock your talent. We know iGaming inside out and use that know-how to help talented professionals find their place in the game, where drive, innovation, and ambition meet in a perfect match. Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth. Perfect for those who aim to: 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 impact; Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions; Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value; Partner with product managers to prioritize the roadmap based on expected impact, not intuition; Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement; Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences; Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question; Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.
Experience you’ll need to bring:
2+ years in Product/Web/ or Data analytics;
Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus);
Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption;
Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues;
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 source design;
Understanding of attribution models and their limitations;
Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis);
English at least at Intermediate level (written and spoken);
Experience with iGaming, or another high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus.
It's a perfect match if you have those personal features:
Business-first mindset: you start from the decision that needs to be made, not from the data that happens to be available;
End-to-end thinking: you naturally connect a landing page tweak to its downstream effect on deposits and LTV, rather than optimizing each stage in isolation; Intellectual honesty: you say "the data doesn't support this" even when the room wants a different answer, and you quantify how confident you actually are;
Attention to data quality: you treat broken tracking as a first-priority incident, because every analysis downstream depends on it;
Clarity over sophistication: you prefer a simple, explainable metric that stakeholders trust to a theoretically elegant one nobody understands;
Ownership: you follow a question from raw event to business decision without waiting for a perfectly specified task.
