Location
London

Hours
Full Time

Salary
Competitive, based on experience

About the Role
Spotlight Sports Group is a global media and technology company dedicated to setting the standard for trusted, customer-driven experiences across global racing and sports betting. With over 40 years of heritage and bold innovation, we deliver award-winning content, data, and digital products through brands including Racing Post, Pickswise, myracing, and Free Super Tips.

This Hybrid Data Analyst (Data Science Support) role is based within our Data Intelligence Unit and involves a dynamic split between core analyst delivery and supporting the Data Science function across Racing and Sports. You will be responsible for delivering reporting, dashboards, and analysis as part of the wider Analyst team. Additionally, you will provide cover for the Lead Data Scientist during absences or periods of high demand and assist with overflow capacity when multiple B2B Data Science projects coincide.

This position suits someone who enjoys balancing structured analyst work with exploratory data science problem-solving and is comfortable working at the intersection of these disciplines. An interest in data science and statistical modelling is beneficial, but strong core analyst skills and flexibility to support Data Science tasks are essential.

Key accountabilities include:
- Delivering reporting, dashboards, and ad hoc analysis for internal and external stakeholders
- Maintaining data roadmap dashboards and tracking
- Providing cover for the Lead Data Scientist to reduce single points of failure
- Absorbing overflow capacity during concurrent B2B Data Science projects
- Supporting ad hoc manual runs and production tasks related to the SiQ platform (Group Racing Platform, Python scripts, Sports Data Platform)
- Assisting with testing and validation of new or updated Data Science models under direction
- Acting as a day-to-day point of contact for Racing, Sports, and B2B stakeholders on data requests, ensuring consistency with wider Data function standards

Experience
- 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 learn quickly
- Comfortable moving between structured analyst work and exploratory data science problem-solving
- Clear, confident communicator able to engage with both technical and non-technical stakeholders

Desirable
- Prior exposure to statistical modelling or data science techniques
- Experience with AWS (CloudWatch, Batch Jobs, Step Functions) or similar cloud data infrastructure
- Interest in or experience with sports or racing data

About You
You are adaptable, analytical, and eager to work at the intersection of data analysis and data science. You thrive in a fast-paced environment and enjoy collaborating with diverse stakeholders to deliver impactful data solutions.