Athlete Health & Performance Data Analyst

Manchester City Football Club; Manchester; On-site; GBP 28,000 - 36,000; Full time

Job summary

Manchester City Women is seeking a data analyst to join our Performance Services team, helping capture, manage and interpret data that informs player health and performance.

You will support collection, cleaning, validation and analysis from core systems, maintain athlete management data, and produce clear reports for practitioners. Ideal candidates are pursuing a Master’s/PhD in a quantitative field with Python/SQL experience.

Qualifications

• Currently studying towards a Master’s degree or PhD in a quantitative discipline such as data science, sports science, statistics, mathematics, computer science, epidemiology or a related area.
• Understanding of core data-analysis and statistical concepts.
• Experience using at least one analytical tool or programming language, such as Python, R, SQL, MATLAB or a similar platform.
• Competence using Microsoft Excel for data cleaning, organisation and analysis.
• Ability to communicate analytical findings clearly to a non-technical audience and work collaboratively with practitioners.
• A careful, methodical approach to data entry, validation and quality assurance.

Responsibilities

• Day to day, you will support the collection, cleaning, validation and analysis of performance data from core systems, tests and outputs.
• You will help maintain athlete management systems, produce clear reports and summaries, and contribute to the development of frameworks and methods for practical insights.
• You will work with Manchester City Women’s Performance Services team and CFG Football Intelligence to turn data into actionable guidance.

Job description

Manchester City Women is seeking a data analyst to join our Performance Services team, helping capture, manage and interpret data that informs player health and performance.

You will support collection, cleaning, validation and analysis from core systems, maintain athlete management data, and produce clear reports for practitioners. Ideal candidates are pursuing a Master’s/PhD in a quantitative field with Python/SQL experience.