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Remote Sports Analyst 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 ...

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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 ...

TeamWork Online

Customer Success Associate

Swish Analytics Job Post Swish Analytics is a sports analytics, betting and fantasy startup ... Location: Fully remote, must be based within CET (Central European Time) ±1 hour. Key ...

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How much do remote sports analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote sports analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Sports Analyst?

A typical day for a Remote Sports Analyst involves gathering and analyzing sports data, creating visual reports, and generating actionable insights for teams, media outlets, or sports organizations. You’ll spend much of your time reviewing game footage, utilizing analytical software, and collaborating with other analysts or coaches via online meetings. Regular responsibilities may also include writing reports, presenting findings, and staying updated on industry trends. Working remotely requires strong time management and communication skills to ensure you can meet deadlines and stay connected with your team.

What are the key skills and qualifications needed to thrive in the Remote Sports Analyst position, and why are they important?

To thrive as a Remote Sports Analyst, you need a strong background in sports analytics, data interpretation, and expertise in statistical analysis, usually supported by a degree in sports management, statistics, or a related field. Familiarity with data visualization tools, sports analytics software (such as Tableau or SPSS), and often proficiency in Excel or programming languages like Python or R are highly valued. Exceptional communication, attention to detail, and the ability to work independently are important soft skills. These abilities enable analysts to deliver accurate insights, collaborate effectively with stakeholders, and succeed in a remote work environment.

What is a Remote Sports Analyst job?

A Remote Sports Analyst evaluates and interprets sports data, trends, and performances to provide insights for media, betting companies, teams, or fantasy sports platforms. They use statistical analysis, data modeling, and industry knowledge to assess games, players, and strategies. This role often involves watching games, compiling reports, and working with tools like spreadsheets or sports analytics software. Since the position is remote, analysts typically collaborate with clients or employers via digital platforms to deliver their findings.

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Remote Sports Analyst jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 9 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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