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Full Time Remote Sports Analyst Jobs (NOW HIRING)

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BCBA (Full-Time, Remote)

Saint George, UT · Remote

$75K - $105K/yr

Remote BCBA The BCBA Clinician practices under the close, ongoing supervision of the Clinical ... PEAK, VB-MAPP, Functional Analyses, ABLLS, AFLS, preference assessments, functional analyses, etc.

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 · 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

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 ...

Oak View Group

Researcher | Full-Time | Remote

$17.50 - $20/hr

Good problem-solving and analytical skills. * Excellent time management and organization skills ... United to Make a Difference At OVG, we understand that to continue positively disrupting the sports ...

Spectra

Researcher | Full-Time | Remote

$17.50 - $20/hr

Good problem-solving and analytical skills. * Excellent time management and organization skills ... United to Make a Difference At OVG, we understand that to continue positively disrupting the sports ...

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All JobsFull Time Remote Sports Analyst Jobs

Full Time Remote Sports Analyst information

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$31K

$73.3K

$130K

How much do full time remote sports analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for full time 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 is the difference between Full Time Remote Sports Analyst vs Full Time Remote Sports Commentator?

AspectFull Time Remote Sports AnalystFull Time Remote Sports Commentator
Primary RoleAnalyzes sports data, provides insights, and reports on teams and playersProvides live or recorded commentary during sports broadcasts or events
Required SkillsData analysis, sports knowledge, reporting skillsVocal communication, quick thinking, sports knowledge
Work EnvironmentRemote, often in offices or home studiosRemote or on-site during broadcasts, studio or live event
Common Industry UsageMedia outlets, sports analytics firms, teamsBroadcast networks, streaming services, sports channels

While both roles involve sports, a Full Time Remote Sports Analyst focuses on data analysis and reporting, whereas a Full Time Remote Sports Commentator provides live commentary during events. The analyst's work is more research and report-oriented, while the commentator's role is performance and communication-focused, often requiring on-the-spot vocal skills.

What is a Full Time Remote Sports Analyst?

A Full Time Remote Sports Analyst is a professional who evaluates and interprets sports data, team and player statistics, and game trends from a remote location. They use analytical tools and software to provide insights and predictions for sports organizations, media companies, or betting agencies. Their work helps inform decisions related to team strategy, player performance, and sports coverage. Remote sports analysts typically collaborate with teams or clients via digital communication platforms, making this role suitable for those who prefer flexible, location-independent work.

What are the key skills and qualifications needed to thrive as a Full Time Remote Sports Analyst, and why are they important?

To excel as a Full Time Remote Sports Analyst, you need strong analytical abilities, a deep understanding of sports statistics, and typically a relevant degree in sports management, analytics, or a related field. Familiarity with data analysis software (such as Excel, R, or Python), sports databases, and visualization tools is often required. Exceptional communication, attention to detail, and time management skills help analysts interpret data clearly and work independently. These competencies ensure accurate insights and effective remote collaboration, driving value in data-driven sports environments.

How does a full-time remote sports analyst collaborate effectively with coaching staff and other analysts despite working from different locations?

Full-time remote sports analysts typically use a combination of video conferencing, shared analytics platforms, and regular virtual meetings to stay connected with coaching staff and fellow analysts. Communication is key, so setting up structured check-ins and using collaborative tools for data sharing and real-time feedback helps bridge the distance. Analysts often present their findings through digital reports, recorded presentations, or live video calls, ensuring that insights are delivered clearly and promptly. Building strong relationships with team members remotely may require extra effort, but leveraging technology and proactive communication can make collaboration smooth and productive.
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Full Time Remote Sports Analyst jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 18 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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