Middle Data Analyst

Growe welcomes those who are excited to: Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases; Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn; Define, validate, and monitor product KPIs related to user behavior, challenge metrics that don't reflect real business value; Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement;  Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question. We need your professional experience: 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; Experience with funnel analysis, cohort analysis; Proficiency with a BI tool (Tableau preferred), including data source design; Grounding in statistics as a plus: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias); Experience with JS/HTML/CSS as a strong benefit; Knowledge of specifics of SPA; English at least at Intermediate level (written and spoken); Experience with a 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.