City Football Group Limited

Casual Applied Data Analyst

City Football Group Limited Manchester, England, United Kingdom

Spectator Sports · 1,001-5,000 employees

20 h ago
data-analyst Junior (0-2 yrs) Part-time United Kingdom
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About the role

The role involves collecting, cleaning, and analyzing performance data to support the Manchester City Women’s Performance Services team. You will maintain athlete management systems and produce clear reports to inform decision-making regarding player health and performance.

What they look for

Data analysis Data collection Data cleaning Data validation Python R SQL MATLAB Microsoft Excel Statistical analysis Reporting Athlete management systems Communication Quality assurance

Requirements

Candidates must be currently enrolled in a Master’s or PhD program in a quantitative discipline such as data science, sports science, or statistics. Proficiency in at least one analytical tool or programming language and strong data organization skills are required.

Full description

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 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.

How to Apply

If this role sounds like it is for you, we would love to hear from you. To apply, please submit your application via our careers site by Wednesday 23rd September. We encourage you to apply as soon as you can.

We work with a select group of agency partners and do not accept unsolicited applications. Any CVs submitted without prior agreement will be treated as a direct application.

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 hiring@cityfootball.com 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.

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