At a Glance
- Tasks: Lead data projects, create dashboards, and develop AI tools to enhance decision-making.
- Company: Join Fanatics, a global leader in digital sports, igniting fan passions worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with opportunities for travel and cultural immersion experiences.
- Why this job: Make an impact in the exciting world of sports betting and analytics.
- Qualifications: 4+ years in data analysis, strong SQL skills, and experience with BI tools.
The predicted salary is between 60000 - 80000 £ per year.
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.
About the Team: Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. We are seeking a Data Analyst III to join our growing data organization in the enterprise reporting team. This data analyst plays a key role in developing and maintaining enterprise reporting frameworks, focusing on report creation, data modeling, transformation, and validation while ensuring compliance with internal governance.
Responsibilities:
- Own end-to-end data projects in a fast-paced environment — from scoping and modeling to delivery and stakeholder adoption.
- Develop AI-powered tools and automations that streamline data extraction, transformation, and reporting — reducing manual effort and enabling self-service analytics.
- Monitor key metrics for anomalies and data quality issues, investigate root causes, and implement fixes in models or dashboards.
- Build and maintain scalable dashboards, reports, and data models that power the FMX product experience and surface KPIs to leadership and stakeholders.
- Apply a product-minded lens to analytics: surface trends, deliver data-driven recommendations, and influence product and business decisions.
- Partner with product, finance, compliance, and engineering to keep BI tools accurate, relevant, and aligned with evolving needs.
- Communicate findings to PMs, developers, and other stakeholders through clear reports and presentations.
- Support data governance through metadata management, validation, reconciliation, and clear documentation.
Qualifications:
- 4+ years as a Data Analyst, BI Analyst, or similar role in a fast-paced, high-growth industry.
- Advanced SQL and hands-on data modeling experience (e.g. dbt).
- Experience building dashboards in a BI tool (e.g. Sigma, Tableau, Power BI, Looker).
- Experience applying AI tools and building automations in an analytics context — a strong plus.
- Comfortable with GitHub for source control and collaboration.
- Customer-obsessed, outcome-oriented, and effective when priorities shift quickly.
- Strong communication skills and proven ability to earn stakeholder trust.
- Understanding of sports betting or customer behavior analysis is a significant plus.
- Open to travel for team offsites and events.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. Your recruiter will provide clear guidance at each stage of the process.
Senior Data Analyst - FMX in London employer: Fanatics Benefits
Fanatics is an exceptional employer that fosters a dynamic and innovative work culture, particularly for Software Engineers looking to make an impact in the fast-paced world of sports betting. With a commitment to employee growth through mentorship opportunities and a collaborative environment, team members are encouraged to thrive and develop their skills while contributing to a leading global digital sports platform. Located in vibrant cities like New York and Leeds, employees enjoy the unique advantage of being part of a rapidly evolving industry, with access to exciting events and a strong network of sports partners.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - FMX in London
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We think you need these skills to ace Senior Data Analyst - FMX in London
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 Fanatics Benefits, 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.
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How to prepare for a job interview at Fanatics Benefits
✨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 Fanatics Benefits!
✨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.
