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Assistant Sports Analytics Jobs (NOW HIRING)

AEG

Hockey Operations & Analytics Intern

Oklahoma City, OK · On-site

$14.25 - $18.75/hr

... Assist with roster, transaction, and administrative tasks. • Maintain player databases and ... Skills & Qualifications • Currently pursuing a degree in Sports Analytics, Statistics, Data ...

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Assistant Sports Analytics information

What is the difference between Assistant Sports Analytics vs Sports Data Analyst?

AspectAssistant Sports AnalyticsSports Data Analyst
Required CredentialsBachelor's degree in sports management, statistics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentSupportive team, sports organizations, or teamsData-focused roles within sports organizations or analytics firms
Employer & Industry UsageEntry-level support in sports analytics departmentsAnalyzing sports data to inform decisions, often more independent
Common Search & ComparisonYesYes

Assistant Sports Analytics roles typically involve supporting sports analytics teams with data collection and basic analysis, often requiring a bachelor's degree. Sports Data Analysts perform more in-depth data analysis to inform strategic decisions, often requiring additional experience or advanced degrees. Both roles are common in sports organizations and share similar educational backgrounds, but differ in responsibility level and scope.

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Assistant Sports Analytics jobs near you
Infographic showing various Assistant Sports Analytics job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution.

Quantitative Developer - New Graduate

Dime Line Trading

Chicago, IL

Full-time

Posted 24 days ago

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models.
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.
Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability
It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.