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Remote Sports Analytics Internships Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

AEG Presents

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

New

AEG Presents

$48.75 - $66.75/hr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is 100% remote Responsibilities: * Use your experience to develop, maintain and ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... Remote (United States)

AEG Presents

$180K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Seniority: Solid Senior level (5-8 years experience) Core ...

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How much do remote sports analytics internships jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote sports analytics internships in the United States is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $36.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Sports Analytics Intern, and why are they important?

To thrive as a Remote Sports Analytics Intern, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, data science, or sports management. Familiarity with statistical software (such as R or Python), data visualization tools, and knowledge of sports-specific data platforms are typically required. Excellent communication, attention to detail, and the ability to work independently are standout soft skills in this role. These competencies enable interns to generate actionable insights, effectively share findings, and contribute to data-driven decision-making in the sports industry.

What types of projects and tasks can I expect to work on as a remote sports analytics intern?

As a remote sports analytics intern, you can expect to work on projects such as data collection, cleaning, and analysis for various sports datasets. Typical tasks include using statistical software to identify trends, creating visualizations, and preparing reports to support coaching or management decisions. Many internships also involve collaborating with analysts and data scientists through virtual meetings, contributing to ongoing research, and presenting your findings to the team. These experiences help you develop both technical and communication skills essential for a career in sports analytics.

What are remote sports analytics internships?

Remote sports analytics internships are temporary positions that allow students or early-career professionals to work with sports teams, organizations, or analytics companies from a remote location. Interns typically analyze sports data, create reports, and contribute to performance evaluations or strategic planning using statistical tools and software. These internships provide hands-on experience in sports analytics without requiring relocation, making them accessible to a wider range of candidates. Responsibilities may include working with large datasets, generating insights, and assisting with research projects. They are ideal for individuals interested in sports, data analysis, and technology.

What is the difference between Remote Sports Analytics Internships vs Remote Sports Data Analyst?

AspectRemote Sports Analytics InternshipsRemote Sports Data Analyst
Required CredentialsEnrolled in or recent graduate in sports management, statistics, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentInternship programs, often part-time or project-basedFull-time or contract roles within sports organizations or analytics firms
Employer & Industry UsageSports teams, leagues, media companies, analytics startupsSports teams, media outlets, analytics companies, betting firms
Common Search & ComparisonYesYes

Remote Sports Analytics Internships typically target students or recent graduates gaining experience in sports data analysis, often in an internship setting. In contrast, Remote Sports Data Analysts are more experienced professionals responsible for analyzing sports data to inform decisions. While both roles involve sports data, internships focus on learning and skill development, whereas analysts handle ongoing data projects.

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Remote Sports Analytics Internships jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted yesterday

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and 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 systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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