Sports Data Analyst - Internship
Posted 4
views
Summary
An internship as a Sports Data Analyst on Gaming Innovation Group's Gaming team in Labège (Toulouse), monitoring sportsbook events, markets, odds and betting performance, producing reports, and building dashboards with Excel and Tableau.
Gaming Innovation Group (GiG), a leading iGaming technology company, is looking for a Sports Data Analyst Intern to join our Gaming team based in Labège, France.
As part of our continued growth in 2026, we’re seeking a motivated and passionate individual with strong analytical skills and a keen interest in sports betting.
This is an exciting opportunity to gain experience in a fast-paced, data-driven environment, contributing directly to the operational and strategic insights of our Sportsbook activities.
As part of our continued growth in 2026, we’re seeking a motivated and passionate individual with strong analytical skills and a keen interest in sports betting.
This is an exciting opportunity to gain experience in a fast-paced, data-driven environment, contributing directly to the operational and strategic insights of our Sportsbook activities.
- Monitor sports events, markets, and odds offered across multiple clients, including risk indicators
- Analyze betting performance by client and player behavior across various verticals
- Produce recurring and ad-hoc reports on sportsbook performance for internal and external stakeholders
- Support the development of monitoring dashboards and control tools using Tableau and Excel
- Collaborate with internal teams (Trading, Product) and external partners/providers
- Detect, investigate, and report anomalies or potential issues related to betting data
- Contribute to data quality and operational efficiency initiatives within the Gaming department
- Strong passion for sports and solid knowledge of the sports betting industry
- Excellent analytical and mathematical skills
- High level of attention to detail, autonomy, and proactivity
- Proficiency in Microsoft Excel and familiarity with Tableau or similar BI tools
- Good communication skills and the ability to work cross-functionally
- Fluent in English (written and spoken)
- Availability to work flexible hours, including evenings and weekends
- Great career development opportunities
- Hybrid working model