Data Analyst

Growe

Middle Data Analyst at GROWE focusing on analyzing player behavior across key metrics and collaborating with product managers. Designing tests and building dashboards for actionable insights and product strategies.

Posted 7/16/2026full-timeRemote • 🇵🇱 PolandJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product and web analytics, with a strong focus on A/B testing, cohort analysis, and KPI monitoring. Proficient in SQL and web analytics platforms, capable of delivering actionable insights to drive product decisions.

Highest-signal resume keywords

Web Analytics Platforms (GA4, Amplitude, Mixpanel)Strong SQL (Window Functions, CTEs)A/B Testing and Quasi-ExperimentsCohort Analysis and Funnel AnalysisBI Tool Proficiency (Tableau)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLA/B TestingCohort AnalysisFunnel AnalysisStatistical AnalysisData Quality MonitoringKPI Definition and ValidationEvent Design and Tracking ImplementationPythonR

Soft Skills

Analytical ThinkingCollaborationCommunication

Tools & Technologies

Google Tag ManagerTableauData Visualization ToolsAnalytics DashboardsData Sources

Industry Keywords

IGamingB2CFintechGamingE-commerce

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

Analyze player behavior across the full funnel to translate findings into actionable product recommendations;
Design, run, interpret A/B tests and quasi-experiments;
Build and maintain cohort-based analyses to support product and investment decisions;
Define, validate, and monitor product KPIs and metric trees;
Partner with product managers to prioritize the roadmap;
Develop self-service dashboards and data sources;
Investigate anomalies in key metrics;
Maintain culture of rigorous, honest analytics;
Own web analytics implementation and data quality.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.