At a glanceSummarised by Seekless from the posting.
Must have8
Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets
Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy)
Ability to understand new datasets quickly and extract meaningful insights
Experience working with large, complex datasets across multiple sources
Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting
Hands-on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel)
Ability to work independently, defining topics for analysis and driving them to completion
Strong communication skills, with the confidence to present findings and challenge assumptions
Nice to have2
Background in Mathematics, Statistics, Data Science, or a related quantitative discipline
An interest in sport, betting markets, or data-driven digital products
Skills
SQL
Python
pandas
numpy
Looker Studio
Google Analytics
Amplitude
Mixpanel
Benefits
Private medical insurance
Parental leave
Mental health support
Assistance programs
Pension scheme
Birthdays off
25 days holiday
Life assurance
Season ticket loan
Cycle to work scheme
Complimentary racing post members club
Volunteer days
About the company
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.
About the role
This Data Analyst role sits within the Data Intelligence Unit (DIU) and is focused on insight generation, analytical problem-solving, and decision support, not just reporting. The role is responsible for improving the organisation’s understanding of customers, behaviours, and performance drivers by moving beyond surface-level trends to explain underlying causes, quantify impact, and support evidence-based decision-making across Content, Commercial, CRM, Product, and Leadership teams.
This role is particularly well suited to an analyst who enjoys working with complex behavioural data, thrives in ambiguous problem spaces, and wants to influence strategy through rigorous analysis. An interest in sport and betting markets is helpful for context, but analytical curiosity and critical thinking are essential. This role is a hybrid role based in our Central London Office near Southbank 3 days a week, with 2 days from home.
Responsibilities
Key accountabilities:
•
Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes.
•
Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions.
•
Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency.
•
Impact Measurement: Develop and implement robust measurement frameworks, including test-and-learn approaches, to evaluate the success of business changes and ensure decisions are evidence-based and continuously refined.
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Championing a Data-Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight-led decision-making across Content, Product, CRM, and Commercial teams…
•
Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high-value insight generation rather than manual data preparation.
Requirements
•
Strong SQL skills, with the ability to query, join, and manipulate large and complex datasets
•
Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy)
•
Ability to understand new datasets quickly and extract meaningful insights.
•
Experience working with large, complex datasets across multiple sources.
•
Proficiency in data visualisation tools (Looker Studio), with a focus on creating actionable insights rather than static reporting.
•
Hands-on experience with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel).
•
Ability to work independently, defining topics for analysis and driving them to completion.
•
Strong communication skills, with the confidence to present findings and challenge assumptions.
Nice to have
Desirable
•
Background in Mathematics, Statistics, Data Science, or a related quantitative discipline.
•
An interest in sport, betting markets, or data-driven digital products.
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.