Product Data & Analytics

A premier, highly profitable global consumer technology enterprise engineering high-throughput platforms and real-time distributed ecosystems for the international Online Gaming and digital entertainment industries.

Operating with approximately 600 specialists worldwide, the company's core software engineering hub in Israel designs and scales the proprietary platform engine used to build, manage, and power high-traffic web environments serving millions of active global users.

The position offers a foundational opportunity to establish the product analytics and data infrastructure from the ground up, laying the groundwork for a broader data division that will directly steer product velocity and commercial growth.

Located in the Central District within short walking distance from primary train transit, operating on an in-office model with flexibility for one day working from home.

Role Description-

• Serving as a Lead / Senior Product Data Analyst, spearheading the product data analytics domain (100% hands-on) and laying the operational and analytical foundations to scale a broader Data discipline.
• Driving complete technical ownership over product and player behavioral telemetry—from tracking specification and pipeline validation to executive-level product insights.
• Conducting deep-dive behavioral, funnel, and segmentation analyses to optimize user lifecycle dynamics, retention curves, and commercial conversion funnels.
• Directly impacting product roadmaps, feature prioritizations, and financial performance metrics (focusing on GGR, NGR, retention, LTV, and player churn dynamics).
• Working closely with Core Engineering and Platform squads to validate data flows across Microservices architectures, event streaming platforms (Kafka or equivalent), and distributed search stores (Elasticsearch).
• Designing, modeling, and maintaining downstream analytical schemas, aggregation tables, and interactive dashboards to empower data-driven decisions across Product, Marketing, and Operations.
• Structuring rigorous A/B testing methodologies, feature evaluation frameworks, and statistical benchmarks to measure product iterations.

Requirements-

• At least 3 years of proven hands-on professional experience as a Product Data Analyst / Product Analytics Specialist – Mandatory
• Proven domain background in High-Volume / High-Throughput B2C environments: Consumer Tech, Online Gaming / iGaming, Sports Betting, FinTech, or equivalent high-scale digital platforms – Mandatory
• Authoritative, advanced mastery of SQL (complex joins, analytical window functions, query performance optimization, and data modeling) – Mandatory
• Hands-on familiarity with Event Streaming and Data Ingestion pipelines (e.g., Kafka or equivalent) and designing downstream analytics models – Mandatory
• Working familiarity with distributed search / data engines (e.g., Elasticsearch or equivalent) and conducting data reconciliation across microservices – Mandatory
• Demonstrated track record of translating complex quantitative datasets into clear, actionable product recommendations that directly drive Product Roadmaps and revenue metrics (GGR / NGR / Retention) – Mandatory
• Self-directed mindset with the capacity to establish workflows independently and build analytical frameworks from scratch – Mandatory
• Fluent, professional communication and presentation capabilities in English (written and verbal) – Mandatory