Casual Applied 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

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 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.

Equal Opportunities

City Football Group promotes equal opportunities in employment and we positively welcome applications from all candidates regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation.

We will screen all applicants and select candidates whose skills and experience seem to meet our needs. We will carefully consider your application during the initial screening and will contact you only if you are selected for an interview. If you require reasonable adjustments or any support throughout the process, please contact [e-mail] and we will be happy to help.

All CFG recruitment communications originate from @cityfootball.com email addresses. If you receive communications from Gmail, Outlook.com or other personal email services claiming to represent CFG, please verify with the hiring team. Employment is subject to the provision of proof of eligibility to work in the UK.

Due to our safeguarding promise, all UK‑based CFG roles will be subject to a DBS check upon commencing employment with us. This will be either a basic, standard or enhanced check depending on the job role and responsibilities.