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Remote Sports Data Analyst Jobs (NOW HIRING)

NuView Analytics

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 ...

Akara Markets

Be Seen First

Sports Data Reporter - Remote/Freelance

Indianapolis, IN · 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 ...

Akara Markets

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Sports Data Reporter - Remote/Freelance

Indianapolis, IN · 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 ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

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 ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$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 ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

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 ...

Elder Research

Data Analyst (Remote)

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 ...

Elder Research

Data Analyst (Remote)

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 ...

MM International

Data Analyst - Remote

New York, NY · Remote

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 ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

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 ...

Right Skale, Inc.

Data Analyst

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 ...

Apex Informatics

Data Analyst

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 ...

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Remote Sports Data Analyst information

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$82.6K

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

As of Jul 10, 2026, the average yearly pay for remote sports 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 Sports Data Analysts effectively collaborate with team members despite working from different locations?

Remote Sports Data Analysts typically use a variety of digital tools—such as project management platforms, instant messaging apps, and video conferencing software—to stay connected with colleagues. Regular virtual meetings and shared dashboards ensure that data insights are communicated clearly and deadlines are met. Collaboration often involves working closely with coaches, scouts, and other analysts to interpret data and provide actionable recommendations. Establishing strong communication habits and being proactive in sharing updates are key to overcoming the challenges of remote teamwork.

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, proficiency in statistics, and a relevant degree in mathematics, statistics, or data science. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics software, along with experience in data visualization platforms like Tableau, is typically required. Exceptional attention to detail, clear communication, and the ability to work independently are standout soft skills for this remote role. These skills are essential for accurately interpreting sports data, delivering actionable insights, and effectively collaborating with teams from a distance.

What does a Remote Sports Data Analyst do?

A Remote Sports Data Analyst collects, processes, and interprets data related to sports events, teams, and athletes, all while working from a remote location. They use statistical tools and software to analyze game results, player performance, and other metrics to provide meaningful insights. These insights can help teams improve strategies, support media coverage, or assist betting companies. The role requires strong analytical skills, proficiency in data analysis software, and a deep understanding of sports. Remote Sports Data Analysts often present their findings through reports, dashboards, or visualizations for stakeholders.
More about Remote Sports Data Analyst jobs
What cities are hiring for Remote Sports Data Analyst jobs? Cities with the most Remote Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
What states have the most Remote Sports Data Analyst jobs? States with the most job openings for Remote Sports Data Analyst jobs include:
What job categories do people searching Remote Sports Data Analyst jobs look for? The top searched job categories for Remote Sports Data Analyst jobs are:
Remote Sports Data Analyst jobs near you
Infographic showing various Remote Sports Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% 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

Re-posted 15 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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