Data Analyst

Onyx Games LLC•New York, NY

24d•Hybrid

About The Position

We're looking for a Data Analyst to support our trading and operations functions. You'll work at the intersection of data, sports, and business—analyzing performance, identifying trends, and delivering insights that drive decision-making. This role is ideal for someone who loves digging into data, has a quantitative mindset, and is excited by the fast-paced world of sports prediction.

Requirements

Analytically minded. You think in numbers, love solving problems, and can translate data into actionable insights.
Interested in sports. You follow games and understand how odds, lines, and predictions work—or you're eager to learn.
Detail-oriented. You care about accuracy and take pride in getting things right.
A strong communicator. You can explain complex findings in simple terms and tailor your message to different audiences.
Proactive and curious. You don't wait to be told what to analyze—you dig in and find the story in the data.
Comfortable with ambiguity. You can navigate a fast-moving startup environment and prioritize effectively.
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, or a related discipline from a competitive program
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

Nice To Haves

Experience in sports predictions, trading, fantasy sports, or prediction markets
Background in finance, trading operations, or risk analytics
Familiarity with sports data providers and APIs
Experience building automated reports or data pipelines

Responsibilities

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