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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior Data Analyst
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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Craft a Tailored Cover Letter:For a full-time role at Igbaffiliate, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Igbaffiliate. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Igbaffiliate
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Igbaffiliate!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
