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Remote Football Data Analyst Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

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 ...

NuView Analytics

Data Analyst

Denver, CO · Remote

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 ...

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 ...

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 ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

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 ...

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 ...

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 ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AI Ops 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 ...

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All JobsRemote Football Data Analyst Jobs

Remote Football Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 17, 2026, the average yearly pay for remote football 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.

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

To thrive as a Remote Football Data Analyst, you need strong analytical skills, a solid understanding of football tactics, and a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and specialized sports analytics platforms such as Opta or Wyscout is typically required. Attention to detail, effective communication, and the ability to work independently are essential soft skills for remote collaboration and insight delivery. These skills enable accurate data interpretation, actionable insights, and effective support for coaching or management decisions in a competitive sports environment.

What is a Remote Football Data Analyst?

A Remote Football Data Analyst is a professional who analyzes football (soccer) data and statistics to provide insights on team performance, player metrics, and match outcomes, all while working from a remote location. They use various data sources and analytical tools to interpret match data, identify trends, and support coaching staff, scouts, or media organizations. Their work may include creating reports, visualizing data, and building statistical models to inform decisions. This role typically requires strong analytical skills, proficiency in data analysis software, and a deep understanding of the game.

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

AspectRemote Football Data AnalystRemote Sports Data Analyst
Required CredentialsDegree in Sports Analytics, Data Science, or related field; knowledge of football statisticsDegree in Sports Analytics, Data Science, or related field; broad sports knowledge
Work EnvironmentRemote, often with sports teams, analytics firms, or media companiesRemote, employed by sports organizations, media outlets, or analytics agencies
Industry UsageFocused on football-specific data analysis and performance metricsAnalyzes data across multiple sports, including football, basketball, and others
Common Search/ComparisonOften compared for specialization in footballBroader sports analysis roles

The Remote Football Data Analyst specializes in football-specific data, requiring knowledge of football metrics and analytics. In contrast, the Remote Sports Data Analyst covers multiple sports, offering a broader scope. Both roles share similar credentials and work environments but differ in industry focus and specialization.

How do Remote Football Data Analysts typically collaborate with coaching staff and scouts despite working off-site?

Remote Football Data Analysts regularly use digital communication tools and data visualization platforms to share insights with coaching staff and scouts. Collaboration often involves scheduled video meetings, sharing dashboards, and providing real-time data interpretations to support tactical decisions. While not physically present, analysts are integral to pre- and post-match briefings, and their ability to convey complex data clearly is crucial in helping the team understand and utilize the insights effectively.
More about Remote Football Data Analyst jobs
What cities are hiring for Remote Football Data Analyst jobs? Cities with the most Remote Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Remote Football Data Analyst jobs? States with the most job openings for Remote Football Data Analyst jobs include:
What job categories do people searching Remote Football Data Analyst jobs look for? The top searched job categories for Remote Football Data Analyst jobs are:
Remote Football Data Analyst jobs near you
Infographic showing various Remote Football Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% 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 22 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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