Trader II - Data Analytics
About Us
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. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Trader II – Data Analytics (Sports Trading)
Overview
As an Information & Organization Analyst within Fanatics Betting & Gaming, you will analyze large and complex datasets, develop statistical and analytical models, and deliver data-driven insights to support pricing strategy, risk analysis, and operational decision-making within a high-volume digital marketplace. You will work across trading, product, and engineering functions to evaluate system performance, develop analytical frameworks, and support scalable, data-driven decision systems.
Key Responsibilities
Apply mathematical, statistical, and probabilistic techniques to develop and maintain pricing and decision models across multiple soccer competitions Extract, clean, and transform large datasets from internal and third-party sources to support analysis and modeling Analyze market, transactional, and behavioral data to identify trends, inefficiencies, and opportunities for optimization Perform exploratory data analysis to identify patterns, anomalies, and performance drivers Develop and maintain data queries, dashboards, and visualizations to monitor performance and inform decision-making Monitor and analyze real-time data flows and system outputs, ensuring accuracy, consistency, and reliability Analyze and model risk exposure and system performance using quantitative techniques Produce and present analytical reports, dashboards, and insights to stakeholders to support strategic and operational decision-making Collaborate with engineering and quantitative teams to design, test, and refine analytical models and data systems Evaluate third-party data sources, ensuring data quality, integrity, and reliability Identify and implement process improvements to enhance efficiency, scalability, and organizational effectiveness Support the development of analytical capability within the team, including mentoring junior staff Work cross-functionally to translate analytical findings into practical recommendations that improve systems and user experience Skills & Experience Experience applying statistical or quantitative analysis in a commercial or operational environment. Strong ability to interpret complex datasets and translate findings into actionable insights. Experience working with data systems, models, or analytical tools in a fast-paced environment Experience with tools such as SQL, Python, R, or data visualisation platforms (e.g. Tableau, Power BI) Understanding of risk analysis, optimization, and performance measurement techniques Ability to evaluate data quality, system performance, and external data sources Strong communication skills, with the ability to present analytical insights to non-technical stakeholders Experience contributing to process improvement or organizational efficiency initiatives Ability to work collaboratively across technical and business teams By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Apply To This Job