Casual Applied Data Analyst

Manchester City FC; Manchester; On-site; GBP 100,000 - 167,000; Part time

Job summary

Manchester City FC is seeking a part-time data analyst to support the Women’s Performance Services team in Manchester. You will help collect, clean, analyse and report on health and performance data to inform day-to-day decisions and player availability in a elite sporting environment.

Ideal candidates are Master’s or PhD students in quantitative fields, with experience in data analysis tools and strong communication skills to translate findings for practitioners and coaches.

Qualifications

• Currently studying towards a Master’s degree or PhD in a quantitative discipline.
• Experience with core data-analysis concepts.
• Proficiency using analytical tools or programming languages.

Responsibilities

• Collect, clean, validate and analyse performance data from core systems.
• Maintain athlete management systems and produce clear reports.
• Develop frameworks and methods to enhance practical insight.
• Turn data into actionable information for practitioners and coaches.

Skills

Data analysis

Communication

Collaboration

Attention to detail

Quantitative methods

Education

Master’s degree candidate

Tools

Python

R

SQL

MATLAB

Job description

Location:Manchester, GB

Full Time / Part Time:Part Time

Contract Type:Other Casual

Based in Manchester, this part-time, casual role is a great opportunity for a current Master’s or PhD student to gain hands-on experience in applied data analysis within an elite sporting environment. You will support Manchester City Women’s Performance Services team by helping to collect, clean, analyse and report on health and performance data that informs day-to-day decision-making and supports player availability and on-pitch performance.

Who We Are

Manchester City Women is a team driven by ambition, belief and a desire to keep pushing the game forward. Founded in 1988 and relaunched in 2014, we have grown into a consistent force in the women’s game, competing at the highest level in the UK and Europe. Progress, performance and pride sit at the heart of everything we do. With Mancunian roots and a global outlook, we are shaped by our Fans and driven by a long-term vision, from developing future talent to supporting the communities we call home. Together, we are building what comes next, the City way.

Within our Performance Services team, we work closely with practitioners and CFG Football Intelligence colleagues to support player health, physical performance and decision-making through reliable data and meaningful insight. We are focused on building clear, well-governed reporting that helps the team make informed decisions every day.

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 clear 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.