Hybrid Data Analyst (Data Science Support)

Sorry, this job was removed at 02:17 p.m. (UTC) on Tuesday, Aug 04, 2026
London, Greater London, England, GBR
Hybrid
Mid level
Digital Media • Gaming • News + Entertainment • Sports • Esports
The Role
Deliver regular reporting, dashboards and ad hoc analysis for Racing and Sports stakeholders. Provide cover and overflow support for the Lead Data Scientist, assist with model testing and production tasks (SiQ platform, Python scripts), and maintain data roadmap dashboards while collaborating with technical and non-technical stakeholders.
Summary Generated by Built In

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.

Key accountabilities:

  • 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.

Requirements
  • 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

  • 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.

Benefits

We offer a range of well-being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year.

We’ve also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we’ve made commuting easier with our Season Ticket Loan and Cycle to Work Scheme.

You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner.

Skills Required

  • Strong analytical skillset with hands-on experience querying and manipulating data
  • SQL
  • Excel for reporting, tracking and ad hoc analysis
  • Working knowledge of Python or ability to learn quickly
  • Comfortable moving between structured analyst work and exploratory data science problem-solving
  • Clear, confident communicator able to work with technical and non-technical stakeholders
  • 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

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The Company
HQ: London
540 Employees
Year Founded: 1986

What We Do

We live and breath sports. We deliver distinctive sports betting experiences through our own online brands and via the world's biggest betting operators and media owners.

Why Work With Us

Our people love that we're fully remote and the flexibility that brings them to make the most of their work life and their home life. They all share the same passion for building something great that our customers love which produces a creative and collaborative culture.

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