Location
London Office (Aldwych)

Hours
Hybrid working pattern of 3 days a week from the office

Salary
Competitive salary package

About the Role
THE·TEAM is a global leader providing representation and marketing services to talent, brands, and properties across 28 countries and more than 70 cities worldwide. Our Performance team operates at the intersection of brands, rights holders, and technology, using data to help partners better understand, grow, and engage their audiences to achieve commercial outcomes. As a Senior Data Analyst, you will transform complex data into clear, actionable insights that support better decision-making for clients and internal teams. You will lead analytics projects across a global portfolio, develop innovative data solutions, and help shape the future of our analytics capabilities. This is a hands-on role with significant ownership, involving close collaboration with client teams, contribution to new business opportunities, mentoring junior analysts, and working with colleagues across the business to continuously improve data usage. You will build strong relationships with senior stakeholders and communicate analytical findings in a clear, accessible, and commercially relevant way.

Experience
- Delivering analytics solutions in commercial environments such as agencies, media, sport, entertainment, or other data-rich industries
- Working with large datasets, developing dashboards, and building predictive or forecasting models
- Improving reporting processes through automation and efficient data workflows
- Handling customer and audience data including segmentation, measurement, and performance analysis
- Collaborating with clients and internal stakeholders to translate business questions into analytical solutions
- Supporting or mentoring colleagues and contributing to the development of an analytics function

About you
Passionate about solving problems with data and turning analysis into meaningful business outcomes. You have strong analytical and technical skills, commercial awareness, curiosity, and a continuous improvement mindset. You communicate complex information clearly to both technical and non-technical audiences and enjoy working collaboratively in a dynamic environment.

Qualifications
While specific qualifications are not detailed, a background in data analytics, statistics, or a related field along with relevant experience is expected. Enthusiasm for learning and growing within the role is essential.