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Remote Football Data Analyst Jobs (NOW HIRING)

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 ...

Senior Data Analyst

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 ...

CUSTOMER_NAME ESSENTIAL_SKILL Real Title OPEN_POS CONTRACTOR_JC NVIDIA Corporation CDP AI/ML Data Analyst 1 1854662 Location: - Remote is fine - Person has to okey with PST working hours. The ...

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use Data to Drive Mission Success Radiance Technologies is seeking a Data Analyst to support U.S. Customs ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of ... Remote work permitted only under approved or contingency conditions Compensation Range: The salary ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

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Remote Football Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jul 11, 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:
Infographic showing various Remote Football 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.
Data Analyst

Data Analyst

NuView

Denver, CO • On-site, Remote

$80K - $100K/yr

Full-time

Re-posted 29 days ago


Job description

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 science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.
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 work on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:
  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:
  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)