
Data Analyst
Onyx Odds
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $120,000 - $170,000 per year
About the role
- 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
Requirements
- 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.
Benefits
- Health insurance
- Professional development opportunities
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLExcelPythonRstatistical conceptsanalytical methodsdata analysisdata modelingdata integritydata automation
Soft Skills
problem-solvingattention to detailcommunicationcollaborationadaptabilitycritical thinkingtime managementanalytical thinkingdecision makingstakeholder engagement