Onyx Odds

Data Analyst

Onyx Odds

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $120,000 - $170,000 per year

Tech Stack

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