Football Research/Data AnalystHOW TO APPLY: If you’re interested in this position, please fill in this form. 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 REVIEWED
SkillCorner 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 development
Core 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
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.