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Remote Sport Data Analyst Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

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Remote Sport Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jun 9, 2026, the average yearly pay for remote sport data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How do Remote Sport Data Analysts typically collaborate with coaches and other analysts despite working offsite?

Remote Sport Data Analysts regularly engage in virtual meetings, video conferences, and shared digital workspaces to communicate with coaches, scouts, and fellow analysts. They often use collaborative data platforms and real-time dashboards to share insights and performance reports. Clear communication and timely feedback are crucial, as analysts must ensure that their findings are actionable and align with the team's goals. Building strong professional relationships remotely is essential for ensuring seamless workflow and effective decision-making.

What is a Remote Sport Data Analyst?

A Remote Sport Data Analyst is a professional who collects, processes, and analyzes sports data from various sources while working from a remote location. They use statistical methods and specialized software to interpret data related to player performance, game outcomes, and team strategies. Their insights help teams, coaches, and organizations make informed decisions, improve performance, and gain a competitive edge. The role often involves working with live data feeds, maintaining accuracy, and creating reports or visualizations for stakeholders. Remote analysts must be adept at communication and self-management, as they collaborate virtually with team members and clients.

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

To thrive as a Remote Sport Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics platforms is typically required, along with knowledge of data visualization software like Tableau or Power BI. Attention to detail, effective communication, and the ability to work independently are crucial soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decision-making and valuable contributions to team performance and strategy from a remote environment.
More about Remote Sport Data Analyst jobs
What cities are hiring for Remote Sport Data Analyst jobs? Cities with the most Remote Sport Data Analyst job openings:
What are the most commonly searched types of Sport Data Analyst jobs? The most popular types of Sport Data Analyst jobs are:
What states have the most Remote Sport Data Analyst jobs? States with the most job openings for Remote Sport Data Analyst jobs include:
Infographic showing various Remote Sport Data Analyst job openings in the United States as of June 2026, with employment types broken down into 38% Full Time, 56% Part Time, and 6% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 13 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