Football Research/Data Analyst

Skillcorner; City of London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A sports data analytics company in the City of London is hiring a Football Research/Data Analyst to develop metrics and analyze football data. The ideal candidate will have a background in data analysis, proficiency in Python and SQL, and excellent football knowledge. This role offers full-time opportunities and possible remote work.

Qualifications

• Minimum 2 years experience in a Data analysis role.
• Experience with sports data and long-term projects.
• Experience publishing academic/media research articles.

Responsibilities

• Create new metrics to analyze players and support recruitment.
• Support product and AI teams in metric validation and testing.
• Identify key trends in football using historical data.

Skills

Proficiency in Python

Proficiency in SQL

Excellent football (soccer) knowledge

Analytical mindset

Problem-solving skills

Education

Undergraduate or graduate degree in data science, computer science, engineering, or a related field

Job description

# Football Research/Data Analyst## SkillCorner is hiring!## Job DescriptionHOW TO APPLY: If you’re interested in this position, please fill in this . Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding.ONLY FORM APPLICATIONS WILL BE REVIEWEDSkillCorner is looking for analysts to support its research & development work. In this role, you will work with skillcorner and external data sources to develop frameworks and metrics to analyse players , teams and competitions with football data. The Research group focuses on surfacing trends and insights that are meaningful for data practitioners in football, while the Product group focuses on developing new metrics and supports product developmentCore Responsibilities* Create new metrics from innovative SkillCorner dynamic event data that capture player behaviors and support recruitment and player profiles* Support product and AI teams in validation, testing and case-study development for new metrics* Use historical data from multiple sources to identify key trends in football and develop analysis frameworks ( Team profiles, Match Reviews..)* Collaborate with internal teams to develop player and competition scores to help evaluate levels of competitions and predict player transferability## Preferred Experience**Qualifications*** Undergraduate or graduate degree in data science, computer science, engineering, or a related field.* 2 years min experience in a Data analysis role* Excellent football (soccer) knowledge* Proficiency in Python, SQL, and Cloud Tools* Past experience in working with sports data and long term projects* Experience publishing academic/media research articles* Experience working in ambiguous environments with minimal supervision; a self-starter who thrives on autonomy.* Excellent analytical mindset, problem-solving skills, and ability to work collaboratively in teams.**What Will Make You Stand Out*** A unique combination of football expertise and data analysis skills* Demonstrated modeling experience applied to sports* Demonstrated ability to use statistical methods for metric development* Demonstrated ability to produce long-form analytical work and communicate results* Comfort working remotely while maintaining high productivity and effective communication.* Contract Type: **Full-Time*** Location: **Paris, London*** **Possible full remote**