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Remote Sports Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/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

$80K/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 ...

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)

SumerSports LLC

AI Application Engineer

Explore how LLMs, retrieval, and deterministic logic can create novel sports analytics tools. Use ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

SumerSports LLC

Sr. Football Data Scientist

Experience: 4+ years of experience in data science, preferably in a sports analytics environment ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

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$64.5K

$125.3K

$179K

How much do remote sports analytics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote sports analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Sports Analytics professional, you need strong analytical abilities, a background in statistics or data science, and a comprehensive understanding of sports, often supported by a relevant degree. Proficiency in analytical tools such as Python, R, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, effective communication, and problem-solving skills are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decisions, impactful reporting, and valuable contributions to team or organizational performance.

What are some common challenges faced by professionals working in remote sports analytics, and how can they be addressed?

Remote sports analytics professionals often face challenges such as collaborating effectively with team members across different time zones, accessing real-time data feeds, and maintaining clear communication with coaches and decision-makers who may be on-site. To overcome these hurdles, it's important to leverage collaboration tools, establish regular virtual check-ins, and ensure robust data security protocols. Building strong digital communication skills and being proactive about sharing insights can help bridge the gap between remote analysts and on-site teams.

What is remote sports analytics?

Remote sports analytics involves analyzing sports data and statistics from a location outside of traditional sports venues, often using digital tools and software. Professionals in this field use data analysis, machine learning, and visualization techniques to evaluate player performance, team strategies, and game outcomes. This role can be performed from home or any remote location, making it accessible to analysts who may not be physically present at sporting events. Remote sports analysts often work for professional teams, sports organizations, media outlets, or technology companies that provide analytics services.
More about Remote Sports Analytics jobs
What cities are hiring for Remote Sports Analytics jobs? Cities with the most Remote Sports Analytics job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
What states have the most Remote Sports Analytics jobs? States with the most job openings for Remote Sports Analytics jobs include:
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Remote Sports Analytics jobs near you
Infographic showing various Remote Sports Analytics job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 24 days ago

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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