Data Analyst – Sports Analytics

About the role

We are looking for a Data Analyst to join the core Research team of a fast‑growing AI‑driven sports analytics company. The role is fully on‑site and reports directly to the Research Team Lead, taking end‑to‑end ownership of high‑volume sports data analysis.

Key responsibilities

• Perform in‑depth statistical analysis on live and historical match data to uncover predictive patterns and validate hypotheses.
• Write advanced SQL queries, stored procedures, and extraction workflows in Microsoft SQL Server to build analytical datasets and business reports.
• Develop Python or R scripts and data pipelines that automate research processes and evaluate model accuracy.
• Collaborate with data scientists, product managers, and engineering squads to translate findings into live platform features.
• Lead analytical projects from data cleansing through statistical modeling to actionable insights.

Required profile

• 3–5 years of hands‑on experience as a Data Analyst.
• Degree in Statistics, Mathematics, Computer Science, Economics or a related quantitative field.
• Strong passion for sports (soccer, basketball, etc.) and familiarity with sports analytics.
• Proven ability to manage analytical projects independently with high attention to detail.

Required skills

• Expert‑level proficiency in SQL and Microsoft SQL Server.
• Practical programming experience in Python or R for data manipulation and analysis.
• Solid foundation in applied statistics, probability and statistical modeling.