Fanatics Betting & Gaming needs to optimize pricing and identify trading opportunities by leveraging data-driven insights, requiring a Data Analyst to build reports, monitor KPIs, and perform exploratory analyses.
Requirements
- Foundational data analysis skills, with exposure to structured data extraction, cleaning, and transformation.
- Basic knowledge of SQL, with an eagerness to grow into advanced querying (CTEs, joins, aggregations, window functions).
- Experience with data visualization tools (Tableau, Looker, Power BI) to create dashboards and reporting tools.
- Exposure to programming languages like Python or R for data analysis.
- Familiarity with semi-structured data (JSON) or modern data tools (Snowflake, Databricks, dbt).
Responsibilities
- Build and maintain reports and dashboards to monitor KPIs such as market activity, liquidity depth, and user participation.
- Support pricing and risk analysis through structured SQL queries, data cleaning, and exploratory analysis.
- Partner with Trading, Product, and Data Engineering teams to gather requirements and deliver clear, actionable outputs.
- Assist in evaluating performance and identifying trends, anomalies, or inefficiencies.
- Communicate findings effectively to both technical and non-technical stakeholders using clear narratives and visualizations.
- Contribute to the continuous improvement of Trading workflows, data tools, and reporting processes.
Other
- Develop a strong understanding of pricing, liquidity, and customer behavior.
- Strong attention to detail, with the ability to structure analyses clearly and logically.
- Excellent communication skills, including the ability to explain data findings in plain language.
- Curiosity about financial markets, or sports betting, with a willingness to learn trading fundamentals.
- Interest in risk modeling, pricing, or financial market structures.
