Trader II - Data Analytics

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