Applied Data Analyst

The Role

This role plays an important part in helping our Performance Services team capture, manage and interpret the data that supports player health and physical performance. You will work with practitioners to make sure information is accurate, timely and well organised, giving the team confidence in the data they use to inform decisions.

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 that make our analysis more useful in practice.

You will also work closely with Manchester City Women’s Performance Services team and CFG Football Intelligence colleagues to turn data into practical insight, with a particular focus on female athlete health and performance. Careful handling of sensitive information, clear communication and a thoughtful approach to context will all be central to how you support the wider team.

What You’ll Bring

• You will be a careful, collaborative and curious analyst who enjoys working with data in a performance environment. You will be comfortable balancing detail with pace, communicating clearly and turning information into practical insight for practitioners.
• Currently studying towards a relevant Master’s degree or PhD in a quantitative discipline such as data science, sports science, statistics, mathematics, computer science, epidemiology or a related area.
• An 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 or similar spreadsheet software for data cleaning, organisation and analysis.
• Ability to communicate analytical findings clearly to a non-technical audience and work collaboratively with a range of practitioners.
• A careful, methodical approach to data entry, validation and quality assurance, with the ability to organise work effectively and manage recurring tasks alongside academic commitments.