Data Analyst

A well-established, highly profitable private AI & Data Analytics company located in the Sharon region. The company develops sophisticated Machine Learning engines and complex statistical forecasting platforms for real-time sports event prediction, alongside a high-scale real-time SaaS data platform serving global clients.

Backed by proven business profitability, an active international customer base, and a close-knit engineering culture, the organization provides a data-rich research environment with full end-to-end analytical ownership.

Located in the Sharon region, operating on an on-site work model.

Role Description-

• Serving as a Data Analyst / Quantitative Data Researcher, joining an organic research squad reporting directly to the Research Team Lead.

• Leading end-to-end analytical projects, extracting insights from massive, multi-dimensional sports telemetry and live game datasets.

• Authoring highly complex queries, data models, and analytical pipelines using SQL and Microsoft SQL Server.

• Writing clean, modular Python scripts for advanced data manipulation, statistical analysis, data validation, and automation.

• Collaborating closely across the organization with Machine Learning Researchers, Algorithm Engineers, and Product stakeholders to enhance predictive models and live data services.

• Translating complex domain questions into actionable quantitative conclusions and performance reports.

Requirements-

• B.Sc. in a Quantitative discipline (Statistics, Mathematics, Industrial Engineering, Economics, Computer Science, or related field) – Mandatory (University degree preferred)

• 2–6 years of hands-on industry experience as a Data Analyst / Quantitative Analyst – Mandatory

• Advanced, expert-level proficiency in SQL (complex joins, aggregations, window functions, query tuning with MS SQL Server) – Mandatory

• Proven hands-on programming experience in Python for data processing (Pandas, NumPy, or similar data analysis libraries) – Mandatory

• High autonomy, strong analytical rigor, and proven ability to lead projects end-to-end – Mandatory

• Strong passion for and deep knowledge of Sports / Football – Significant Advantage

• Professional background in data-heavy industries such as FinTech, Algo-Trading, Gaming, Sports Betting, or High-Frequency Analytics – Significant Advantage