Data Analyst

A highly successful and profitable global gaming company that is engineering a next-generation entertainment and interactive gameplay experience. Founded by tech-driven, serial entrepreneurs with a track record of high-profile acquisitions in the gaming industry, the venture has achieved exceptional market traction in a remarkably short period. The company maintains an elite, R&D-focused workforce of several dozen professionals. Operating from a modern office hub in Tel Aviv within short walking distance of the train station, the team works on-site to maintain high-velocity collaboration and rapid product iteration. Position Overview- Senior Data Analyst joining an elite data division to serve as a cross-functional analytics authority covering Product, Marketing, Finance, and CRM vectors. Partnering closely with executive stakeholders, product managers, and growth teams to translate raw behavioral datasets into clear, data-driven strategies that optimize player retention and lifetime value (LTV). Designing, developing, and scaling advanced telemetry dashboards and business intelligence models using Looker to track complex user behaviors and economy metrics. Writing highly optimized, complex queries and processing pipelines using SQL and Python to extract actionable insights from high-scale data warehouses. Building data infrastructure and predictive analytics frameworks over modern cloud systems (GCP/AWS). Core Stack & Ecosystem- SQL, Python, Looker, Google Cloud Platform (GCP), AWS, B2C Product Analytics, User Behavior Modeling, Marketing Attribution, Finance Analytics, and CRM Data Optimization. Requirements- 5 years of proven professional experience operating as a Data Analyst, BI Analyst, or Product Analyst – Mandatory Extensive analytics background operating within B2C product-led companies (e.g., Gaming, Mobile Apps, Consumer Tech, or High-Scale Web platforms) – Mandatory Production-proven mastery of writing complex, high-performance SQL architectures – Mandatory Solid hands-on programming and data manipulation skills using Python – Mandatory Practical technical experience working with cloud data warehouses and environments (GCP or AWS) – Mandatory Strong stakeholder-facing communication skills with a track record of translating complex analytical deep-dives into compelling executive presentations – Mandatory