At a Glance
- Tasks: Design and maintain dashboards, ensuring data quality and governance for impactful reporting.
- Company: Join Fanatics, a leading global digital sports platform igniting fan passions worldwide.
- Benefits: Competitive salary, opportunities for travel, and a dynamic work environment.
- Other info: Collaborative team culture with excellent growth opportunities in a high-energy environment.
- Why this job: Make a real impact in the sports industry while working with cutting-edge data technologies.
- Qualifications: 4+ years as a Data Analyst, advanced SQL skills, and experience with BI tools.
The predicted salary is between 76000 - 96000 £ per year.
About Us
Fanatics is building a leading global digital sports platform, igniting the passions of sports fans worldwide and maximizing the presence and reach for our hundreds of sports partners. We offer products and services across Fanatics Commerce, Collectibles, and Betting & Gaming, enabling fans to buy, collect, and bet on a wide range of licensed sports gear, apparel, and digital assets.
About The Team
Launched in 2021, Fanatics Betting & Gaming operates an online and retail sports betting business with the Fanatics Sportsbook covering 95% of the U.S. online sports bettor market. The team maintains 22 retail sports betting locations, including the only sportsbook inside an NFL stadium. Headquarters and offices are located in New York, with additional locations in Denver, Leeds, and Dublin.
Position Overview
We are seeking a Data Analyst III to join our enterprise reporting team, playing a key role in developing and maintaining reporting frameworks, creating dashboards, and ensuring data quality and governance.
Responsibilities
- Design dashboards with a long-term mindset, ensuring they are optimized, scalable, and maintainable.
- Maintain and continuously update dashboards to keep data accurate and aligned with evolving business needs.
- Enhance existing BI assets, incorporating new data sources and stakeholder feedback to keep reports relevant.
- Assist with data governance activities, including metadata management and reporting documentation.
- Design, build, and maintain scalable data models to support reporting, dashboards, and advanced analytics.
- Support data modeling, transformation, and automation to improve reporting efficiency.
- Gather and refine reporting requirements from finance, compliance, and business teams.
- Conduct data validation, reconciliation, and quality control checks to maintain reporting integrity.
- Develop processes to streamline data extraction, transformation, and reporting workflows.
- Support automated reporting solutions to reduce manual effort and enhance consistency.
- Investigate and reconcile reporting variances across reports, ensuring KPI accuracy.
- Work with stakeholders to identify root causes of discrepancies and implement fixes.
- Generate and maintain reports on key business metrics for governance, financial, and operational performance.
- Communicate findings and insights to product managers, developers, and stakeholders through clear reports and presentations.
Qualifications
- 4+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Advanced SQL skills.
- Experience with data modeling using tools such as DBT.
- Expertise in source code control with GitHub, using branching strategies and best practices.
- Proficiency in building dashboards and reporting tools such as Tableau, Sigma, Power BI, or Looker.
- Strong customer orientation, outcome focus, and data-driven mindset within high-growth environments.
- Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships.
- Logical and analytical problem-solving skills and interest in AI in analytics.
- Strong organizational and communication skills.
- Positive, flexible attitude and willingness to embrace new initiatives.
- Understanding of sports betting or experience in customer behavior analysis is a significant plus.
- Must be open to travel for team offsites and events.
Salary
Salary Range: £76,000 - £96,000 USD per year
Data Analyst III (Product) in London employer: Fanatics
At Fanatics, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technology in the heart of New York City. Join us to be part of a passionate team that is reshaping the sports industry while enjoying competitive salaries and a vibrant workplace atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst III (Product) in London
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We think you need these skills to ace Data Analyst III (Product) 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, 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 Fanatics. 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 Fanatics
✨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!
✨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.
