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Remote Sports Data Jobs (NOW HIRING)

Jobgether

You will transform structured sports data, editorial insights, and archival assets into engaging ... Fully remote and flexible working environment. * Comprehensive medical, dental, vision, life, and ...

Underdog

Senior Product Manager, Sports Predictions

OR · Remote

$160K - $240K/yr

Centralize and orchestrate market data across Underdog Fantasy, Underdog Exchange, Crypto.com, and ... LI-REMOTE We're a remote-first company and value in-person connection. That said, we expect ...

Akara Markets

Be Seen First

Sports Data Reporter - Remote/Freelance

New York, NY · Remote

$50 - $100/day

Akara offers courtside intelligence for sports betting, seeking passionate sports fans to scout games and report live scores and play-by-play. This solo contractor role focuses on live game reporting ...

SumerSports LLC

Data Engineer

$117K - $140K/yr

You'll collaborate closely with our MLOps , LLMOps , and Sports Data teams to ensure seamless ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

SumerSports LLC

AI Application Engineer

... Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Gambling.com Group

Account Executive (LATAM)

GAMB) is a multi-award winning provider of marketing and sports data services looking for ... Flexible work environment with the option for remote work * Lifestyle Allowance/Lifestyle Spending ...

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

... data scientists. * Oversee development and deployment of pricing models across major sports and ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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Remote Sports Data information

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

AspectRemote Sports DataRemote Sports Analyst
Required CredentialsKnowledge of data management, basic sports statisticsSports knowledge, analytical skills, sometimes degrees in sports management or related fields
Work EnvironmentPrimarily data entry, database management, remoteData analysis, reporting, remote or on-site
Employer & Industry UsageSports teams, media companies, data providersMedia outlets, sports organizations, analytics firms

Remote Sports Data roles focus on managing and organizing sports-related data, requiring technical skills and data handling. Remote Sports Analysts interpret this data to provide insights, often needing sports knowledge and analytical expertise. Both roles are remote-friendly but differ in their core responsibilities and skill sets.

What are the typical daily tasks for someone working in a Remote Sports Data role?

In a Remote Sports Data role, your daily responsibilities often include collecting, verifying, and entering real-time data from live sporting events, as well as analyzing statistics to ensure accuracy. You may also collaborate with other data analysts or sports editors to resolve discrepancies and update databases. Communication is key, as you’ll frequently coordinate with team members across different time zones using digital tools. Meeting tight deadlines and maintaining high attention to detail are common challenges, especially during major sports seasons when data volume increases.

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

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, attention to detail, and proficiency in statistics or a related field, often supported by a relevant degree. Familiarity with data analysis tools like Excel, SQL, Python, or specialized sports data platforms is highly valuable. Excellent communication, time management, and problem-solving skills help you collaborate effectively and deliver insights in a remote environment. These skills and qualifications are vital for providing accurate, timely sports data that supports decision-making for teams, media, and betting organizations.

What are remote sports data jobs?

Remote sports data jobs involve collecting, analyzing, and managing information related to sports events, teams, and athletes, all while working from a location outside the traditional office. These roles can include data entry, statistical analysis, live event reporting, and database management, often supporting media, betting, or analytics companies. People in these positions typically use specialized software and must have a keen eye for detail as well as a good understanding of various sports. Remote sports data jobs offer flexibility and the opportunity to work with global organizations, making them appealing to sports enthusiasts with strong data skills.
More about Remote Sports Data jobs
What cities are hiring for Remote Sports Data jobs? Cities with the most Remote Sports Data job openings:
What states have the most Remote Sports Data jobs? States with the most job openings for Remote Sports Data jobs include:
What job categories do people searching Remote Sports Data jobs look for? The top searched job categories for Remote Sports Data jobs are:
Remote Sports Data jobs near you
Infographic showing various Remote Sports Data job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 3 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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