
Trader II - Data Analytics
About Us
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
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