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Internship Sports Data Analyst Jobs (NOW HIRING)

AEG

Sports Trading Analyst

San Francisco, CA · On-site

$70K - $120K/yr

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Govini

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Lucid Motors

As a Data Analyst Intern within our Customer Experience team, you will help turn customer and ... This internship is a great opportunity for a student who enjoys working with data, is curious about ...

ASCENSUS

Data Analyst Intern

Newton, MA

$20/hr

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

The Walt Disney Company

Data Analyst

New York, NY

$97K - $130K/yr

... sports, news, and entertainment content, across all media platforms. SUMMARY As a Data Analyst, you ... will be responsible for assisting the Digital Ad Sales Business Intelligence Product group, within ...

The Walt Disney Company

Data Analyst

Glendale, CA

$97K - $130K/yr

... sports, news, and entertainment content, across all media platforms. SUMMARY As a Data Analyst, you ... will be responsible for assisting the Digital Ad Sales Business Intelligence Product group, within ...

Foot Locker

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

At Foot Locker, we're rooted in sport, powered by style, and driven by the communities that move ... Ability to lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers.

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

AEG is a leader in transforming sports and live entertainment, hosting over 160 million guests annually. The Sr Data Analyst role focuses on analyzing customer behavior and engagement, visualizing ...

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

AEG is a leader in sports and live entertainment, hosting over 160 million guests annually. The Sr Data Analyst will analyze customer behavior and engagement, visualize key metrics, and collaborate ...

BrightStar Credit Union

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

Previous internship or work experience in a data analysis or business intelligence role. * Understanding of data warehousing concepts and ETL processes. * Knowledge of cloud-based data platforms such ...

Brooksource

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT ... Prior internship or project experience (preferred) * Coachability, willingness to learn, and a ...

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Internship Sports Data Analyst information

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How much do internship sports data analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for internship sports data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Sports Data Analyst vs Sports Data Analyst?

AspectInternship Sports Data AnalystSports Data Analyst
Required CredentialsEnrolled in or recent graduate of related degree (e.g., sports management, data science)Bachelor's or higher in data analysis, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time, permanent or contract roles in sports organizations or media
Employer & Industry UsageSports teams, leagues, media outlets, or sports analytics startupsProfessional sports organizations, broadcasters, analytics firms
Common Search & ComparisonEntry-level, learning, or training positionAdvanced, specialized data analysis roles in sports

The main difference between an Internship Sports Data Analyst and a Sports Data Analyst is experience level and employment status. Internships are typically entry-level, temporary positions aimed at gaining experience, while Sports Data Analysts are full-time professionals with more responsibilities and expertise in sports analytics.

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What cities are hiring for Internship Sports Data Analyst jobs? Cities with the most Internship Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
What states have the most Internship Sports Data Analyst jobs? States with the most job openings for Internship Sports Data Analyst jobs include:
What job categories do people searching Internship Sports Data Analyst jobs look for? The top searched job categories for Internship Sports Data Analyst jobs are:
Internship Sports Data Analyst jobs near you
Infographic showing various Internship Sports Data Analyst job openings in the United States as of June 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Sports Trading Analyst

AEG

San Francisco, CA • On-site

$70K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, real-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical excellence.
Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems.
Job Description
Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.
In this role, you will work at the intersection of sports intelligence, quantitative modelling, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.
This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment.
You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.
Duties
  • Monitor live sports markets and market activity in real time across a range of sports and market types
  • Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information
  • Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information
  • Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour
  • Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events
  • Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling
  • Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates
  • Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams
  • Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales
  • Detect sharp or informative market activity and ensure useful signals are fed back into Swish's proprietary models and pricing systems
  • Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models

Requirements
  • Bachelor's degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience
  • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk
  • Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter
  • Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value
  • Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events
  • Comfortable working autonomously across global event schedules, including weekends and major tournament periods
  • Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment

Preferred (but not essential)
  • Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued
  • Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer
  • Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions
  • Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality
  • Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement
  • Experience using modern AI tools to accelerate analysis, research, and modelling workflows

Why Join
This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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