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Remote Football Data Analyst Jobs in Washington (NOW HIRING)

DarkStar Intelligence LLC

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Description DATA ANALYST Location: Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

Booz Allen Hamilton, Inc.

Data Analyst

Washington, DC · On-site +1

Remote Work: Hybrid Job Number: R0241726 Location: Washington,DC,US Share job via: Share Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

MM International

Credit Card Data Analyst

Mclean, VA · Remote

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if Onsite ...

The Rehancement Group

GSA Data Analyst 1

Fairfax, VA · Remote

$65K/yr

GSA Data Analyst 1 The Rehancement Group, Inc. (TRG)  is a professional services and consulting ... This position is telework/remote, full-time: 8 hours per day/ Monday-Friday (40hr/week). GSA Laptop ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format ...

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All JobsFootball Data Analyst JobsRemote Football Data Analyst JobsRemote Football Data Analyst Jobs in Washington

Remote Football Data Analyst information

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.
What are the most commonly searched types of Football Data Analyst jobs in Washington? The most popular types of Football Data Analyst jobs in Washington are:
What are popular job titles related to Remote Football Data Analyst jobs in Washington? For Remote Football Data Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analyst jobs in Washington look for? The top searched job categories for Remote Football Data Analyst jobs in Washington are:
What cities in Washington are hiring for Remote Football Data Analyst jobs? Cities in Washington with the most Remote Football Data Analyst job openings:
Remote Football Data Analyst jobs near you

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 23 days ago

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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