Analyze odds, lines, and market movements to support trading decisions
Build and maintain dashboards to monitor trading performance and risk exposure
Identify patterns, anomalies, and opportunities in sports data
Develop models and tools to improve pricing accuracy and efficiency
Collaborate with the trading team to refine strategies based on data insights
Track and report on key operational metrics across the platform
Analyze user behavior, transaction flows, and platform performance
Identify bottlenecks and inefficiencies and recommend process improvements
Support forecasting and capacity planning efforts
Ensure data integrity and accuracy across operational systems
Partner with product, engineering, and finance teams to deliver data-driven insights
Automate reporting and streamline data pipelines where possible
Communicate findings clearly to both technical and non-technical stakeholders

Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, or a related discipline from a competitive program
At least 3 years of experience in a relevant field
Proficiency in SQL and Excel; experience with Python or R is a plus
Strong understanding of statistical concepts and analytical methods
Excellent problem-solving skills and attention to detail
Must be comfortable working in a fast-moving startup environment.

Data Analyst

Key skills