Data Analyst – Athletic Performance

Gloucester Rugby
Gloucester
7 months ago
Applications closed

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Organisation Gloucester Rugby Salary Competitive Location Gloucester Contract type Permanent (Full time) Closing date 2 September 2025 Job Description Gloucester Rugby, formed in 1873, are a Premiership rugby team based at Kingsholm Stadium in the city of Gloucester.

This role is responsible for delivery of Gloucester Rugby’s new strategy for performance data. This role is ideal for someone who thrives at sports data engineering and analysis, and who is excited by the challenge of building a modern, scalable sports data infrastructure from the ground up.

Key responsibilities

1. Implement a unified data model across specified performance datasets, including GPS data, strength and body comp data amongst other performance and medical data sets.

2. Lead the migration from manual Excel-based workflows to a centralised data warehouse with API integrations from key data platforms including Teambuildr, Catapult & Instrumented mouthguards.

3. Build and maintain interactive dashboards in Power BI for coaches, performance team, medical, and players.

4. Collaborate with Performance and Medical team to translate data into actionable insights.

5. Maintain clear documentation for all data flows, dashboards for performance analysis and processes.

6. Oversee the design of a player-facing dashboard or mobile app for personalised data access and feedback.

7. Play a leading role in building and executing data sharing strategies to service the Professional Games Partnership, including player tracking, physical profiling and instrumented mouthguard data. Ensure data compliance with all key centralised research projects and supporting regulations such as the Professional Rugby Injury Surveillance Project (PRISP) in collaboration with our partners, the RFU and PREM Rugby.

8. Collaborate with Head of Performance and our A.I. partner, Opensport on installing artificial intelligence applications into our data analysis processes and performance workflows.

We are looking for...

• Experience with Python and/or R for data processing and modelling.

• MSc or BSc in Data Analytics, Sports Data Analytics or comparable qualification Proficiency in data warehousing.

• Experience with API integration and Extract, Transform and Load tools
Power BI or Tableau dashboarding skills.

• Familiarity with Catapult, Openfield, Hudl, Teambuildr sports data platforms is an advantage but not essential

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