Data Analyst

A highly profitable, globally recognized consumer-facing (B2C) digital media and sports technology company that develops one of the world's most popular real-time data and analytics platforms. Delivering live telemetry, advanced statistics, and instant updates to a massive global user base, the platform processes tens of billions of monthly data events and boasts hundreds of millions of active users worldwide.

Driven by an incredibly strong international brand and an elite in-house content engine, the company successfully leverages massive user engagement through strategic international partnerships.

The organization maintains a dynamic, fast-paced, and highly collaborative startup culture, heavily composed of passionate sports enthusiasts operating from a pet-friendly workspace.

The corporate headquarters is situated in a prime location in Central Tel Aviv (directly adjacent to the main train network).

Position Overview-

• Senior Data Analyst joining a high-impact, data-driven analytics core group, reporting directly to the Data Analysis Team Leader.
• Taking analytical ownership over massive, high-velocity user behavior datasets to uncover critical insights regarding user acquisition, digital monetization channels, and retention loops.
• Designing, developing, and maintaining sophisticated data models and interactive corporate dashboards to drive complex product-oriented and strategic business decisions.
• Analyzing high-scale push-notification engagement, session dynamics, and marketing funnel performance to continuously optimize the global user journey.
• Partnering closely with Product Management, Growth, and Engineering squads to define cross-platform KPIs and implement advanced telemetry tracking.
• Core Domain & Ecosystem- High-Scale B2C Platforms, Mobile App Analytics, User Engagement & Retention, AdTech & Digital Monetization, Data Modeling, Advanced SQL, Python Analytics, BI Visualization (Looker).

Requirements-

• 3 years of proven professional experience dedicated to data analysis within product or growth-oriented environments – Mandatory
• Deep, hands-on experience analyzing high-volume, global B2C (Business-to-Consumer) applications or direct-to-consumer digital products – Mandatory
• Advanced, production-grade optimization skills in SQL for querying and manipulating hyper-scale relational/analytical databases – Mandatory
• Strong proficiency in Python for data manipulation, statistical analysis, or automated scripting – Mandatory
• Practical experience designing enterprise-grade reports and metrics within modern BI tools, preferably Looker – Mandatory
• Prior analytical background coming from the Digital Monetization, AdTech, Gaming, or Retention-heavy industries – Strong Advantage
• Outstanding data storytelling capabilities with a highly product-driven and business-oriented mindset – Mandatory