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Data Analyst at Growe, Remote

Growe welcomes those who are excited to:

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn – and translate findings into actionable product recommendations;
• Design, run, and 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.

We need your professional experience:

• 2+ years in Product/Web/ or Data analytics;
• 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;
• Strong SQL – window functions, CTEs, large datasets (Athena or similar is a plus);
• 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.

We appreciate 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.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;
• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;
• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.