Hybrid Data Analyst (Data Science Support)

Hybrid Data Analyst (Data Science Support)

Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
Spotlight Sports Group

At a Glance

  • Tasks: Deliver insightful reports and dashboards while supporting data science projects.
  • Company: Join a global media and tech leader in sports and racing.
  • Benefits: Enjoy private medical insurance, generous leave, and hybrid work options.
  • Other info: Flexible role with opportunities for growth and community impact.
  • Why this job: Combine your analytical skills with data science in an exciting industry.
  • Qualifications: Strong SQL skills and a passion for data analysis and science.

The predicted salary is between 54000 - 66000 £ per year.

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 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 programmes, 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 programme) 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.

Hybrid Data Analyst (Data Science Support) employer: Spotlight Sports Group

Spotlight Sports Group is an exceptional employer that prioritises the well-being and growth of its employees while fostering a vibrant work culture. With a commitment to innovation and customer satisfaction, the company offers comprehensive benefits including private medical insurance, generous parental leave, and a unique birthday off policy, alongside opportunities for professional development and community engagement through volunteering. Located in a dynamic industry, employees can thrive in a supportive environment that values their contributions and encourages a balanced work-life experience.

Spotlight Sports Group

Contact Details:

Spotlight Sports Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Analyst (Data Science Support)

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We think you need these skills to ace Hybrid Data Analyst (Data Science Support)

Analytical Skills
SQL
Excel
Python
Data Manipulation
Statistical Modelling
Data Science Techniques

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Spotlight Sports Group

Brush Up on Your Statistics

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Get Comfortable with Python and R

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