At a Glance
- Tasks: Generate insights from complex data to influence strategic decisions in sports betting.
- Company: Join a leading media and tech company in the sports industry.
- Benefits: Enjoy competitive pay, private medical insurance, and 25 days holiday plus your birthday off.
- Why this job: Make an impact with data-driven insights while working in a dynamic, hybrid environment.
- Qualifications: Strong SQL and Python skills, with a background in Mathematics or Data Science.
- Other info: Opportunities for career growth and volunteering with our charity partner.
The predicted salary is between 28800 - 48000 £ per year.
Spotlight Sports Group is a global media and technology company specialising in content and data within sports betting, horse racing and fantasy sports. With over 400 employees, the group operates multiple award-winning brands, including Racing Post, Pickswise, myracing and Free Super Tips. We partner with leading operators across the betting industry to produce and build multilingual, best-in-class digital products and content to engage and educate customers.
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.
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.
- 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.
- Background in Mathematics, Statistics, Data Science, or a related quantitative discipline.
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.
Data Analyst in England employer: Igbaffiliate
Contact Detail:
Igbaffiliate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Spotlight Sports Group. LinkedIn is a goldmine for this – drop them a message, ask about their experiences, and show genuine interest in what they do.
✨Tip Number 2
Prepare for those interviews like a pro! Research common data analyst interview questions and practice your answers. Make sure you can explain your analytical process and how you've used data to drive decisions in past roles.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or analyses, bring it along to interviews. This is your chance to demonstrate your SQL and Python prowess, and how you can turn complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Spotlight Sports Group.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL and Python skills, and any experience with data visualisation tools. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Don't forget to mention your interest in sports and betting markets!
Showcase Your Analytical Skills: In your application, provide examples of how you've tackled complex datasets and derived actionable insights. We love seeing candidates who can think critically and solve problems creatively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Igbaffiliate
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills with complex datasets and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Curiosity
Prepare examples that highlight your ability to dig deep into data and uncover insights. Think about times when you identified trends or patterns that led to significant decisions or changes in strategy.
✨Master the Art of Data Storytelling
Practice translating complex data findings into clear narratives. Be ready to explain how you would present your insights to stakeholders with varying levels of data fluency, ensuring they understand the implications of your analysis.
✨Engage with Stakeholders
Demonstrate your collaborative spirit by discussing how you've worked with different teams in the past. Highlight your experience in shaping hypotheses and delivering insights that influenced strategic decisions.