Casual Applied Data Analyst

Manchester City; Manchester; On-site; GBP 18,000 - 26,000; Full time

Job summary

Manchester City is seeking a careful and motivated data analyst to support the Performance Services team in collecting, cleaning and interpreting data that informs athlete health and performance decisions. You will work with practitioners to ensure data accuracy and timely reporting, helping to turn insights into actionable recommendations.

Ideal candidates are pursuing a Master’s or PhD in a quantitative field, with experience in Python/R/SQL and strong Excel skills.

Qualifications

• Pursuing a Master’s or PhD in a quantitative discipline.
• Strong foundation in data-analysis and statistics.
• Experience with at least one analytics tool or language.
• Proficient in Excel for data cleaning and analysis.
• Ability to communicate findings to non-technical audiences.

Responsibilities

• Collect, clean, validate and analyse performance data from core systems.
• Support maintenance of athlete management systems and reports.
• Develop frameworks and methods to improve practical analysis.
• Produce clear summaries for practitioners and teams.
• Collaborate with Women's Performance Services and CFG Football Intelligence to turn data into insight.

Skills

Data analysis

Statistical concepts

Clear communicator

Collaboration

Academic commitment management

Education

Masters/PhD in quantitative discipline

Tools

Python

R

SQL

MATLAB

Excel

Job description

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.