Data Analyst

A well-established, highly successful Sports-Tech company that has engineered a world-leading sports scores and live-data platform, renowned for its ultra-fast, low-latency notification technology.

The application delivers hyper-personalized, real-time accurate scores and advanced statistical analytics covering thousands of competitions globally across multiple sports and languages.

Following its acquisition by a major global sports betting and gaming group, the company operates as a key data-driven hub within a premier international portfolio.

Located in the Center region (exceptionally accessible via public transit and train lines).

Position Overview-

Product & Data Analyst joining a high-scale Business Intelligence (BI) team tasked with turning massive volumes of raw sports and behavioral telemetry into highly accurate signals and actionable product insights.

Owning the analytical landscape for user-facing features, directly influencing product roadmaps, user retention strategies, and global feature monetization.

Operating within a cloud-native, modern data stack to dissect complex engagement patterns from a massive global user base.

Requirements-

Strong professional experience as a Data Analyst, with a distinct focus on Product, Growth, or User-Behavior analytics - Mandatory

Deep technical mastery of SQL with extensive experience querying large-scale, high-concurrency cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) - Mandatory

Demonstrated background in user behavior modeling, including structured cohort retention analysis, customer journey mapping, funnel optimization, and AdTech/ROI calculations - Mandatory

Hands-on proficiency with modern enterprise BI visualization platforms (with a strong preference for Looker) - Mandatory

Strong foundational grasp of statistical methods, data architecture, and quantitative problem-solving - Mandatory

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