Data Analyst in London

Data Analyst in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Igbaffiliate

At a Glance

  • Tasks: Analyse complex data to uncover insights and drive strategic decisions.
  • Company: Join a leading media and tech company in the sports betting industry.
  • Benefits: Enjoy competitive pay, private medical insurance, and 25 days holiday.
  • Other info: Hybrid work model with opportunities for professional growth and volunteering.
  • Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
  • Qualifications: Strong SQL and Python skills, with a background in data analysis.

The predicted salary is between 36000 - 60000 £ 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, the world’s largest horse racing affiliate, 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 London employer: Igbaffiliate

Spotlight Sports Group is an exceptional employer that fosters a dynamic and inclusive work culture, where data-driven insights shape strategic decisions across the organisation. With a strong focus on employee well-being, we offer comprehensive benefits including private medical insurance, generous parental leave, and a unique birthday off policy, alongside opportunities for professional growth in a vibrant Central London location. Join us to be part of a collaborative team that values analytical curiosity and empowers you to make a meaningful impact in the sports betting industry.
Igbaffiliate

Contact Detail:

Igbaffiliate Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Spotlight Sports Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase how you can manipulate complex datasets and generate insights. Practice explaining your thought process clearly, as data storytelling is key in this role.

✨Tip Number 3

Show your passion for sports and betting markets! During interviews, share your insights or experiences related to these areas. It’ll demonstrate your enthusiasm and help you connect with the team’s mission.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Spotlight Sports Group family.

We think you need these skills to ace Data Analyst in London

SQL
Python
Data Analysis
Data Visualisation
Looker Studio
Google Analytics
Amplitude
Mixpanel
Analytical Problem-Solving
Data Storytelling
Stakeholder Collaboration
Impact Measurement
Automation
Mathematics
Statistics

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can manipulate complex datasets and generate insights, so don’t hold back on showcasing your technical prowess!

Tell a Story with Data: When you describe your past experiences, focus on how you turned data into compelling narratives. We love candidates who can translate complex analysis into actionable insights, so share examples of how your findings influenced decisions.

Be Proactive: In your application, demonstrate your ability to go beyond standard reporting. Talk about times when you identified trends or opportunities that others might have missed. We’re looking for someone who’s curious and ready to dive deep into data!

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 this exciting 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 brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially when it comes to manipulating large datasets or automating processes. This will show that you can hit the ground running!

✨Master the Art of Data Storytelling

Prepare to explain complex data insights in a way that's easy to understand. Think about examples where you've turned raw data into actionable insights for stakeholders. Practising this will help you demonstrate your ability to communicate effectively with teams who may not be data-savvy.

✨Show Your Analytical Curiosity

Be ready to discuss how you approach ambiguous problems and what methods you use to uncover underlying trends. Highlight any experiences where your analytical curiosity led to significant findings or improvements in previous roles. This will resonate well with their focus on insight generation.

✨Engage with the Company’s Context

Familiarise yourself with the sports betting and fantasy sports landscape. Having a genuine interest in these areas will not only help you relate better during the interview but also show that you're invested in the company's mission and goals. It’s all about connecting your skills to their needs!

Data Analyst in London
Igbaffiliate
Location: London

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