Middle Data Analyst

<h5>Growe welcomes those who are excited to:</h5> <ul> <li> <p>Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases;</p> </li> <li> <p>Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn;</p> </li> <li> <p>Define, validate, and monitor product KPIs related to user behavior, challenge metrics that don't reflect real business value;</p> </li> <li> <p>Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement; </p> </li> <li> <p>Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question.</p> </li> </ul> <h5>We need your professional experience:</h5> <ul> <li> <p>2+ years in Product/Web/ or Data analytics;</p> </li> <li> <p>Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus);</p> </li> <li> <p>Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption;</p> </li> <li> <p>Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues;</p> </li> <li> <p>Experience with funnel analysis, cohort analysis;</p> </li> <li> <p>Proficiency with a BI tool (Tableau preferred), including data source design;</p> </li> <li> <p>Grounding in statistics as a plus: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias);</p> </li> <li> <p>Experience with JS/HTML/CSS as a strong benefit;</p> </li> <li> <p>Knowledge of specifics of SPA;</p> </li> <li> <p>English at least at Intermediate level (written and spoken);</p> </li> <li> <p>Experience with a high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus.</p> </li> </ul> <h5>We appreciate if you have those personal features:</h5> <ul> <li> <p>Business-first mindset: you start from the decision that needs to be made, not from the data that happens to be available;</p> </li> <li> <p>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;</p> </li> <li> <p>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;</p> </li> <li> <p>Attention to data quality: you treat broken tracking as a first-priority incident, because every analysis downstream depends on it;</p> </li> <li> <p>Clarity over sophistication: you prefer a simple, explainable metric that stakeholders trust to a theoretically elegant one nobody understands;</p> </li> <li> <p>Ownership: you follow a question from raw event to business decision without waiting for a perfectly specified task.</p> </li> </ul> <h5>We are seeking those who align with our core values:</h5> <ul class="Vacancy_vacancy__description__list__o_1gO"> <li class="Vacancy_vacancy__description__list__item__BsZ1X"> <p>GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;</p> </li> <li class="Vacancy_vacancy__description__list__item__BsZ1X"> <p>DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;</p> </li> <li class="Vacancy_vacancy__description__list__item__BsZ1X"> <p>BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.</p> </li> </ul>