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Remote Football Data Analytics Jobs (NOW HIRING)

Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Remote Duration: 6 months- Initially 20- 30 hours a week. Data Analyst Role and responsibilities ... Mid-level and more data analytics than PM * Parts/Industry experience - From the client: I'd add B2 ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

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Remote Football Data Analytics information

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$24

$54

$94

How much do remote football data analytics jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote football data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How do remote football data analytics professionals typically collaborate with coaches and team analysts?

Remote football data analytics professionals often work closely with coaches and on-site analysts through regular virtual meetings, data-sharing platforms, and real-time communication tools. They are responsible for delivering insightful reports, visualizations, and actionable recommendations that inform game strategies and player development. Clear communication and a collaborative mindset are essential, as these professionals need to translate complex data into accessible insights while responding promptly to feedback and changing team needs.

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

AspectRemote Football Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Sports Management, or related field; knowledge of football statisticsDegree in Data Science, Sports Management, or related field; broad sports knowledge
Work EnvironmentRemote, focused on football data projectsRemote, covering multiple sports or general sports data analysis
Industry UsagePrimarily in football clubs, leagues, and football-focused mediaIn various sports organizations, media outlets, and analytics firms
Search & Comparison IntentSpecific to football data analysis rolesBroader sports data analysis roles

Remote Football Data Analytics focuses specifically on football-related data, requiring specialized football knowledge and analytics skills. In contrast, Remote Sports Data Analyst roles encompass multiple sports, demanding broader sports industry understanding. Both roles often share similar credentials and work environments but differ in their scope and industry focus.

What is a Remote Football Data Analyst?

A Remote Football Data Analyst is a professional who collects, processes, and interprets football-related data from a remote location, often using specialized software and statistical methods. They analyze match statistics, player performance data, and tactical trends to provide insights for teams, media, or betting companies. Their work helps improve team strategies, scouting, and fan engagement, all while working outside of a traditional office or stadium environment. This role requires strong analytical skills, a deep understanding of football, and proficiency in data analysis tools.

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 skills in statistical analysis, data interpretation, and a solid understanding of football tactics, typically supported by a degree in statistics, mathematics, or sports science. Proficiency with data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is highly valued. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills for this remote role. These skills are important to deliver actionable insights that drive team performance and informed decision-making in a competitive sports environment.
More about Remote Football Data Analytics jobs
What cities are hiring for Remote Football Data Analytics jobs? Cities with the most Remote Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Remote Football Data Analytics jobs? States with the most job openings for Remote Football Data Analytics jobs include:
Infographic showing various Remote Football Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics & Technical Analyst"

Data Analytics & Technical Analyst"

Xforia, Inc.

Remote

Contractor

Posted 2 days ago


Job description

Position: Data Analytics & Technical Analyst
Location: Remote Position
Duration: 6+ Months
About the Role
  • This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics Dashboards and Data & Analytics projects at HARMAN. You will primarily interact with HARMAN business users and aid them in bug fixes to their Qlik dashboards, addressing and resolving dashboard concerns & errors, optimization recommendations, enablement activities, and any general inquiries surrounding Data & Analytics platforms and assets at HARMAN.

Your Team
  • This position will report into the Manager of Data & Analytics Operations and has no direct reports.

What You Will Do
  • Collaborate with business users to resolve Qlik dashboards bugs and address any concerns to ensure alignment with business goals and objectives.
  • Automation of Dashboard runbook.
  • Maintain response time standards to promptly address and resolve tickets, ensuring minimal impact on user productivity.
  • Follow ticketing processes via HARMAN internal ticketing tool and email.
  • Provide exceptional customer support for Data & Analytics platforms and assets' and ensure overall customer satisfaction.
  • Ensure compliance with established policies and procedures.
  • Collaborate cross functionally to develop and deliver user training and support for system changes, including user manuals and documentation.

What You Need
  • Bachelor's degree in computer science, information systems, or a related field
  • Proficient in Qlik Sense development and visualization software, including scripting and data modeling.
  • Experience with data integration and programming languages (SQL)
  • Minimum of 3-5 years of experience in a customer facing support role preferably in a large organization
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
  • Ability to work independently and manage multiple tasks and priorities in a fast-paced environment.
  • Strong analytical and problem-solving skills, with the ability to think creatively and strategically, with a high attention to detail.

What is Nice to Have
  • Experience in a technical support role.
  • Prior experience with Data Visualization Platforms
  • Prior experience in Data Analytics/Analysis
  • Ability to be flexible and adaptable in a fast-paced/high-pressure environment, while maintaining good customer relations.
  • familiarity with version control tools