Senior Data Analyst

Senior Data Analyst

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

At a Glance

  • Tasks: Lead a team of analysts to deliver impactful insights and drive data-driven decisions.
  • Company: Join a global media and tech company at the forefront of sports betting innovation.
  • Benefits: Enjoy competitive pay, private medical insurance, and 25 days holiday plus your birthday off.
  • Other info: Flexible hybrid working model and opportunities for personal development and volunteering.
  • Why this job: Make a real impact in a dynamic environment while developing your leadership skills.
  • Qualifications: Strong SQL and Python skills, with experience in data analysis and team management.

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, 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.

The Senior Analyst sits within the Data Intelligence Unit (DIU) and is responsible for the operational leadership of the analytics function. This role combines hands-on analytical expertise with people leadership and delivery ownership.

You will:

  • Own the day-to-day running of the analyst team
  • Line-manage and develop analysts
  • Control workload prioritisation and intake
  • Maintain analytical quality and standards
  • Deliver high-impact commercial insight

This is not a pure individual contributor role. It is a player-coach position responsible for building capability and improving output quality across the function. The role reports into the Head of Data / DIU and acts as the operational bridge between strategic direction and delivery execution.

Responsibilities:

  • Operational Ownership
    • Own the intake, scoping and prioritisation of analytics requests
    • Manage workload planning and sequencing across the team
    • Ensure deadlines and delivery standards are met
    • Act as first point of escalation for analytical queries
  • Line management
    • Line manage Analysts and Associate Analysts
    • Conduct 1:1s, development planning and performance management
    • Identify capability gaps and support hiring decisions
    • Foster a culture of analytical rigour and commercial curiosity
  • Insight & Commercial Impact
    • Lead complex analytical initiatives across Content, CRM, Product and Commercial
    • Move beyond reporting to uncover behavioural drivers and quantify impact
    • Shape hypotheses with stakeholders and translate findings into actionable recommendations
    • Develop and oversee robust test-and-learn frameworks
  • Quality & Standards
    • Review analytical outputs for methodological accuracy and clarity
    • Promote best practice in SQL, Python and experimentation design
    • Improve documentation and reproducibility standards
    • Champion data governance and responsible data usage
    • Identify opportunities to streamline recurring analysis
    • Improve workflow efficiency and reduce manual reporting
    • Support scalable analytics infrastructure

Requirements

  • Advanced SQL capability working with large-scale data warehouses (Snowflake experience desirable)
  • Strong Python skills for analysis and automation (pandas, numpy; modelling libraries advantageous)
  • Experience working with behavioural event data (Segment, Amplitude, GA, Mixpanel or similar)
  • Proven experience influencing business decisions through analysis
  • Experience mentoring or managing analysts
  • Comfortable operating in ambiguous problem spaces
  • Strong communication skills with the ability to challenge constructively
  • Demonstrated commercial awareness
  • Experience in digital media, subscription businesses or betting markets
  • Experience building predictive or statistical models
  • Background in Mathematics, Statistics, Economics, Data Science or similar

We offer a range of well-being initiatives, including private medical insurance, excellent parental leave, a globally working 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 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.

Senior Data Analyst employer: Igbaffiliate

Spotlight Sports Group is an exceptional employer that fosters a dynamic and collaborative work culture, where creativity and innovation are at the forefront of our operations. As the Head of Visual Editorial & Data Storytelling, you will have access to extensive growth opportunities, working alongside talented professionals in a vibrant environment that values your contributions. Located in a thriving hub for media and technology, we offer unique advantages such as flexible working arrangements and a commitment to professional development, making it a rewarding place to advance your career.

Igbaffiliate

Contact Details:

Igbaffiliate Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Spotlight Sports Group. A friendly chat can open doors that applications alone can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and how you've influenced business decisions. This will give you an edge during interviews.

Tip Number 3

Practice makes perfect! Brush up on your SQL and Python skills before the interview. Being able to discuss your technical expertise confidently will impress the hiring team.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our awesome team.

We think you need these skills to ace Senior Data Analyst

Advanced SQL
Python
Data Analysis
Analytical Leadership
Workload Management
Behavioural Event Data Analysis
Statistical Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, Python, and any relevant analytical projects. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data analysis and how you can contribute to our team. Don’t forget to mention your leadership experience and how you’ve influenced business decisions in the past.

Showcase Your Analytical Skills:In your application, provide examples of complex analytical initiatives you've led. We love seeing how you've moved beyond reporting to uncover insights that drive commercial impact. Make it clear how you can bring this to our team!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!

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 with large-scale data warehouses. Highlight any experience with behavioural event data as well!

Showcase Your Leadership Skills

Since this role involves line management, be prepared to talk about your experience mentoring analysts. Share specific examples of how you've developed team members and fostered a culture of analytical rigour.

Prepare for Complex Problem-Solving

Expect questions that assess your ability to navigate ambiguous problem spaces. Think of scenarios where you've had to shape hypotheses and translate findings into actionable recommendations. Use the STAR method to structure your answers.

Demonstrate Commercial Awareness

Be ready to discuss how your analytical insights have influenced business decisions in the past. Familiarise yourself with the sports betting and digital media landscape, and think about how your work can drive commercial impact.