• Build and maintain dbt models that transform raw source data into reliable, well-documented, tested analytical assets used across the business • Partner with stakeholders across Operations, Finance, Marketing, Sales, and Product to translate ambiguous business questions into precise analytical deliverables. You should be able to identify if the ask needs refinement before the work begins • Design and ship Tableau dashboards and data products that automate reporting that currently requires manual effort, permanently removing recurring analytical burden from the team • Identify gaps in our data coverage and work with engineering or independently to close them — whether that means writing a Python ingestion pipeline or modeling a new source • Maintain data quality standards across the warehouse: write dbt tests, monitor for anomalies, and ensure that the numbers stakeholders see are trustworthy • Contribute to the team's analytical infrastructure. This means shared macros, source definitions, documentation standards, and CI/CD practices. • Stretch into data engineering or data science as business needs demand and for your own personal development: pipeline development, ML feature preparation, or predictive modeling are all on the table for the right candidate

• Analyze complex revenue, margin, CTR, conversion rates and other financial metrics; • Interact (in a clear and effective way) with different business areas and teams; • Execute complex seasonal studies and help to create relevant client-oriented material; • Maintain complex reports in support of Account Management and Sales teams; • Help Account Management and Technical Support teams with campaign optimization and strategies, providing on-demand analysis.

• Analyze revenue, margin, CTR, conversion rates and other financial metrics; • Interact (in a clear and effective way) with different business areas and teams; • Execute seasonal studies and help to create relevant client-oriented material; • Maintain reports in support of Account Management and Sales teams; • Help Account Management and Technical Support teams with campaign optimization and strategies, providing on-demand analysis.

Role Description 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. Qualifications - 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 visualization 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. Company Description 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. - 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. - Over 2,000 retail locations, including its Lids retail stores. - More than 22,000 employees committed to enhancing the fan experience and delighting sports fans globally.