Hybrid Data Analyst (Data Science Support)
The Hybrid Data Analyst (Data Science Support) role sits within the Data Intelligence Unit. The position involves splitting time between core analyst functions and providing data science support across racing and sports departments.
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.
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.
- Deliver reporting, dashboards and ad hoc analysis for internal and external stakeholders as part of the Analyst team's regular workload.
- Maintain the data roadmap dashboards and associated tracking.
- 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.
- Absorb overflow capacity when multiple B2B Data Science projects are running concurrently, supporting delivery without disrupting core Analyst-team output.
- Support ad hoc manual runs and production tasks tied to the SiQ platform (Group Racing Platform, Python scripts, Sports Data Platform).
- Assist with testing and validation of new or updated Data Science models under the Lead Data Scientist's direction.
- 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.
- Strong analytical skillset, with hands-on experience querying and manipulating data (SQL essential) (required).
- Confident working in Excel for reporting, tracking and ad hoc analysis (required).
- Working knowledge of Python, or a clear ability to pick it up quickly (required).
- Comfortable moving between structured, day-to-day analyst work and more exploratory data science problem-solving (required).
- Clear, confident communicator, able to work with both technical and non-technical stakeholders (required).
- Prior exposure to statistical modelling or data science techniques (nice-to-have).
- Experience with AWS (CloudWatch, Batch Jobs, Step Functions) or similar cloud data infrastructure (nice-to-have).
- Interest in or experience with sports or racing data (nice-to-have).
- Private medical insurance
- Excellent parental leave
- Working globally policy
- Mental health support
- Assistance programs
- Social gatherings
- Pension scheme
- Birthday off work
- 25 days of holiday per year
- Life assurance
- Star card
- Step Further Awards (employee recognition program)
- Season Ticket Loan
- Cycle to Work Scheme
- Complimentary access to Racing Post Members Club, complete with an Ultimate Membership
- Volunteer two days per year with charity partner
Spotlight Sports Group is a global media and technology company operating across horse racing and sports betting. It combines more than 40 years of Racing Post heritage with consumer brands such as Pickswise, myracing and Free Super Tips, alongside B2B products that power major operators, affiliates and media groups. Its technology includes the Superfeed content engine, Halo live streaming, Spotlight iQ AI-driven insights and digital and print betting-shop displays, plus the ICS-digital and ICS-translate marketing and localisation agencies covering more than 80 languages. Headquartered in London, the company employs over 400 people and serves leading names in betting, racing and sports media.
