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Remote Sport Data Journalist Jobs (NOW HIRING)

This is a paid freelance and remote position ScreenRant is the #1 entertainment website and ... sports, technology, automotive, gaming, lifestyle and travel. Valnet is committed to producing ...

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit ... About the Job We are seeking a PR pro who thinks like a data journalist and knows that the best ...

Senior Product Manager, Sports Predictions

OR ยท 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 ...

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 ...

General information Requisition # R66726 Locations USA-Remote Work Posting Date 03/20/2026 Security ... Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ...

This is a paid freelance and remote position. ScreenRant is the #1 entertainment website and ... sports, technology, automotive, gaming, lifestyle and travel. Valnet is committed to producing ...

NFL Data Scientist

San Francisco, CA ยท 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 ...

Data Science Manager - Sports Pricing

Atlanta, GA ยท 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 Sport Data Journalist information

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$30K

$61K

$131K

How much do remote sport data journalist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote sport data journalist in the United States is $60,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $79,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Sport Data JournalistRemote Sports Data Analyst
CredentialsJournalism degree, sports reporting experienceStatistics, data analysis, or related degree
Work EnvironmentMedia outlets, sports websites, freelanceTeams, sports organizations, media companies
Industry UsageReporting sports news, storytellingAnalyzing sports data, performance metrics
Search & Comparison IntentSports reporting, journalism rolesData analysis, sports statistics roles

The Remote Sport Data Journalist primarily focuses on reporting and storytelling about sports events, often working in media outlets or freelance. In contrast, the Remote Sports Data Analyst concentrates on analyzing sports data and performance metrics to inform decisions. While both roles require familiarity with sports and data, journalists emphasize communication skills and reporting, whereas analysts focus on technical data skills and statistical analysis.

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

To thrive as a Remote Sport Data Journalist, you need a solid understanding of various sports, strong analytical abilities, and attention to detail, often complemented by a degree in journalism, communications, or a related field. Familiarity with live data collection tools, sports databases, and content management systems is typically required. Excellent written communication, time management, and the ability to work independently under tight deadlines are standout soft skills for this role. These abilities ensure accurate, timely reporting and high-quality coverage that engages audiences and supports data-driven decision-making in sports media.

How does a Remote Sport Data Journalist typically collaborate with editors and other journalists while working offsite?

Remote Sport Data Journalists commonly use digital communication tools, such as messaging apps, video calls, and collaborative platforms, to stay connected with editors and fellow journalists. Coordination is key, especially when covering live events, so clear communication about deadlines, data accuracy, and content requirements is essential. You'll often participate in virtual editorial meetings, share updates in real time, and work within cloud-based systems to submit your work. This collaborative structure ensures that, despite being remote, your contributions are well-integrated into the broader reporting team.

What is a Remote Sport Data Journalist?

A Remote Sport Data Journalist is a professional who gathers, analyzes, and reports sports data and statistics, typically while working from a remote location. They cover live sporting events, update real-time scores, and provide accurate information for media outlets, betting companies, or sports organizations. Their work involves watching games, recording key data points, and sometimes writing reports or articles about the events. This role requires a solid understanding of the sport, attention to detail, and the ability to work independently. Remote Sport Data Journalists play a crucial role in delivering timely and reliable sports information to a wide audience.
More about Remote Sport Data Journalist jobs
What cities are hiring for Remote Sport Data Journalist jobs? Cities with the most Remote Sport Data Journalist job openings:
What are the most commonly searched types of Sport Data Journalist jobs? The most popular types of Sport Data Journalist jobs are:
What states have the most Remote Sport Data Journalist jobs? States with the most job openings for Remote Sport Data Journalist jobs include:
Infographic showing various Remote Sport Data Journalist job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $60,979 per year, or $29.3 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 14 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