Data Analyst
3 weeks ago
Job Description
Creative Artists Agency
Creative Artists Agency (CAA) is a world-leading entertainment and sports agency, with offices in Los Angeles, New York, Nashville, London, and Beijing. Our agency represents many of the most successful professionals working in film, television, music, theatre, video games, sport, and digital content, providing a range of strategic marketing and consulting services to corporate clients.
Overview
We are recruiting for a Data Scientist to enhance our agency's use of advanced performance data. Reporting into the Player ID & Data Insights Manager, this role will lead the architecture of multiple sources of raw data and further develop existing predictive modelling and data visualisation. This will enhance the automation and delivery of accurate insights and guidance to be applied by agents, recruitment analysts, and operations staff, primarily in the identification, recruitment, and retention of elite football players and managers/coaches.
Key Responsibilities
- Using data to derive accurate insights on professional football players, managers/coaches, and team tactical systems, continually optimising the modelling processes
- Handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation
- Enhancing processes to automate the data-driven identification of prospective clients
- Applying insights to project player development trajectories, assisting in the development of clients, adding evidence to contract negotiation processes
- Assisting in recruitment process, working with the Design & Analysis team internally to optimally leverage data insights within presentations
- Building and developing relationships with data scientists working in clubs
- Developing close working relationships with key stakeholders across the agency, including the wider CAA Data Team
- Staying aware of the latest developments and research within the 'football analytics' industry
Essential Requirements
- An excellent academic record, qualified to degree level within a quantitative/STEM discipline (e.g. Statistics, Physics, Applied Mathematics, Engineering, Computer Science etc.)
- A track record in handling APIs, managing databases, handling large data sets, statistical modelling, and data visualisation, being proficient with programming languages (preferably Python)
- A critical thinker with a flair for interrogating and synthesising insights to derive solutions from sometimes incomplete and disparate datasets, with an understanding of the strengths and weaknesses of various quantitative and qualitative research methodologies
- A proactive, structured, and detailed approach to problem-solving, being comfortable working across multiple projects simultaneously to sometimes tight deadlines
- Excellent organisational skills
- Ability to prioritise workload
- Good verbal and written communication skills
- A passion for the rigorous analysis of football and data-driven decision making
- Proven and demonstrable experience building relationships and dealing with sensitive situations with confidentiality and discretion
Desirable Requirements
- Knowledge of the 'football analytics' landscape, which may include experience of working with performance data products (e.g. Wyscout, Skillcorner, StatsBomb)
- Experience using data to analyse football – players, tactical frameworks, coaches etc
- Experience working as a data scientist/similar quantitative role
- Having worked within a professional sports organisation as an analyst/data scientist, although a keen interest and transferable skills may go further
- Experience as a football player or coach
- Experience presenting insights to non-technical audiences
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