Data Analyst (iGaming)

TL;DR

Data Analyst (SQL/Tableau): Analyzing player behavior across the full funnel for an iGaming product with an accent on A/B testing, LTV modeling, and web analytics implementation. Focus on translating complex data findings into actionable product recommendations and building self-service BI dashboards.

Location: Remote (Anywhere)

Company

hirify.global is a leading business advisory and services group in iGaming and Entertainment, creating strategies and scalable solutions for industry growth.

What you will do

• Analyze player behavior across the full funnel (registration, deposit, retention, churn) to provide actionable product recommendations.
• Design, execute, and interpret A/B tests and quasi-experiments to measure feature impact.
• Build and maintain cohort-based analyses, including LTV and retention curves, to support investment decisions.
• Define and monitor product KPIs and metric trees, ensuring they reflect real business value.
• Develop self-service dashboards in Tableau to enable stakeholders to answer routine data questions.
• Own web analytics implementation, including tracking plans, event taxonomy, and GTM management.

Requirements

• 2+ years of experience in Product, Web, or Data analytics.
• Strong SQL proficiency, including window functions and CTEs.
• Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel) and Google Tag Manager.
• Solid grounding in statistics, including hypothesis testing and confidence intervals.
• Proficiency with Tableau for data source design and reporting.
• English: Intermediate level (B1) required.

Nice to have

• Experience in iGaming or other high-frequency B2C domains like fintech or e-commerce.
• Python or R for ad-hoc analysis (pandas, survival analysis).

Culture & Benefits

• Global Medical Coverage and a strong focus on health and wellness.
• Compensation for gym, stomatology, and psychological services.
• Performance-driven rewards and professional growth opportunities.
• Dynamic work environment with a remote-first approach.