This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This is an exciting opportunity for a Data Analyst to make a significant impact on the club’s business growth through data analytics. In this role, you will develop and maintain dashboards and reporting frameworks that provide clear, real-time insights into performance across commercial partnerships, premium sales, ticketing, and retail. Your analysis will help identify key revenue optimisation opportunities, including upsell potential, price elasticity, and attendance drivers, directly supporting the club’s financial objectives. You will assist in sponsorship valuation and partner reporting by delivering data-driven evidence of audience reach, engagement, and ROI. Additionally, your work will include analysing premium product performance, fan segmentation, and supporter journey data to generate actionable insights that improve marketing strategies, increase fan retention, and boost revenue. Collaborating with data engineering and business stakeholders, you will ensure data quality, support the development of predictive models, and promote a data-literate culture within the club’s commercial teams. This role offers a fantastic chance to apply your analytical skills to drive strategic business decisions and contribute to the club’s commercial success.
Job Responsibility:
Develop and maintain dashboards and reporting frameworks that provide clear, real-time insights into performance across commercial partnerships, premium sales, ticketing, and retail
Identify key revenue optimisation opportunities, including upsell potential, price elasticity, and attendance drivers
Assist in sponsorship valuation and partner reporting by delivering data-driven evidence of audience reach, engagement, and ROI
Analyse premium product performance, fan segmentation, and supporter journey data to generate actionable insights
Collaborate with data engineering and business stakeholders to ensure data quality, support the development of predictive models, and promote a data-literate culture
Requirements:
Degree in a data-related or quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Data Science, or Artificial Intelligence
Minimum of two years’ experience in a data analyst, marketing optimisation, or business intelligence role
Proven experience working with CRM, ticketing, or e-commerce data within a consumer-facing business
Strong proficiency in SQL for data extraction, transformation, and analysis
Skills in Python or R for statistical analysis and modelling
Experience with BI and visualization tools such as Tableau, Power BI, or equivalent platforms
Understanding of data warehousing concepts and experience working with cloud data platforms like S3 or Redshift
Highly organised individual capable of managing multiple priorities and deadlines effectively
Postgraduate qualification in a relevant analytical field is desirable but not essential
Experience supporting partnerships and managing customer or fan data in the sport, entertainment, or events sector is a plus
Proven track record of leveraging AI workflows to drive innovation, enable commercial growth, and improve operational efficiencies
Experience in building or contributing to fan or customer segmentation models is desirable but not essential
Nice to have:
Postgraduate qualification in a relevant analytical field
Experience supporting partnerships and managing customer or fan data in the sport, entertainment, or events sector
Experience in building or contributing to fan or customer segmentation models