Data Analyst, Spotlight Sports Group

• Strong analytical skillset, with hands-on experience querying and manipulating data (SQL essential)
• Confident working in Excel for reporting, tracking and ad hoc analysis
• Working knowledge of Python, or a clear ability to pick it up quickly
• Comfortable moving between structured, day-to-day analyst work and more exploratory data science problem-solving
• Clear, confident communicator, able to work with both technical and non-technical stakeholders

Desirable

• Spotlight Sports Group is a global media and technology company with a clear purpose, to set the standard for trusted, customer-driven experiences across global racing and sports betting
• Guided by our mission to create experiences that fans love, we combine more than 40 years of heritage with bold innovation to deliver award-winning content, data and digital products
• With over 400 employees worldwide, our portfolio includes Racing Post, Pickswise, myracing and Free Super Tips, as well as the international marketing agency ICS-digital and ICS-translate. Together, we partner with leading operators, affiliates and media groups to power growth and engagement across the industry
• This Data Analyst (Data Science Support) role sits within our Data Intelligence Unit and splits its time between core Analyst-function delivery and Data Science support across Racing and Sports
• Day to day, the role delivers reporting, dashboards and analysis as part of the wider Analyst team. When the Data Science function needs it, whether that's covering the Lead Data Scientist during absence or high demand, or absorbing overflow when multiple B2B Data Science projects land at the same time, the role flexes into Data Science support
• This role is particularly well suited to someone who enjoys moving between structured analyst work and more exploratory data science problem-solving, and who is comfortable operating at the intersection of the two disciplines
• An interest in data science and statistical modelling is helpful for context, but strong core analyst skills and the flexibility to pick up Data Science work are essential
• Reporting & Analysis: Deliver reporting, dashboards and ad hoc analysis for internal and external stakeholders as part of the Analyst team's regular workload, and maintain the data roadmap dashboards and associated tracking
• Data Science Cover: Provide cover for the Lead Data Scientist during absence or periods of high demand, reducing the single point of failure risk in the consolidated Data Science function
• Overflow Capacity: Absorb overflow capacity when multiple B2B Data Science projects are running concurrently, supporting delivery without disrupting core Analyst-team output
• Production Support: Support ad hoc manual runs and production tasks tied to the SiQ platform (Group Racing Platform, Python scripts, Sports Data Platform)
• Model Testing: Assist with testing and validation of new or updated Data Science models under the Lead Data Scientist's direction
• Stakeholder Collaboration: Act as a day-to-day point of contact for Racing, Sports and B2B stakeholders on data requests, keeping practices consistent with wider Data function standards