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Nfl Data Analyst Jobs in Virginia (NOW HIRING)

CACI International, Inc.

Data Scientist

Norfolk, VA · On-site

... NFL) II contract on site at our Hampton Roads location. In this role, you will bridge the gap ... You will formulate and lead guided, multifaceted analytic studies against massive volumes of ...

K2 Group Inc.

Program Manager (CISA HSEEP)

Arlington, VA · On-site

... data analytics, and operational resilience across state, local, tribal, territorial (SLTT), and ... Lead exercise initiatives for major national and international special events (e.g., NFL Draft, MLB ...

Compass Group

Executive Chef

Fredericksburg, VA · On-site

$80K - $85K/yr

Overseeing menu design and updates in line with food trends and internal data, cost of goods, and ... Ensuring calorific analysis is carried out on all menu items in line with FDA guidelines

Compass Group

Executive Chef

Fredericksburg, VA · On-site

$80K - $85K/yr

Overseeing menu design and updates in line with food trends and internal data, cost of goods, and ... Ensuring calorific analysis is carried out on all menu items in line with FDA guidelines

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Nfl Data Analyst information

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$81.9K

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How much do nfl data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for nfl data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is an NFL data analyst?

An NFL Data Analyst is responsible for collecting, processing, and interpreting football-related data to provide insights that help teams, coaches, and executives make informed decisions. They analyze player performance, team strategies, and game trends using statistical models and data visualization tools. Analysts may work with scouting departments, front offices, or media organizations to enhance decision-making. Strong skills in programming, data analysis, and football knowledge are essential for this role.

What are the key skills and qualifications needed to thrive as an NFL data analyst?

To excel as an NFL Data Analyst, you need strong quantitative analysis skills, a solid understanding of football concepts, and a degree in statistics, mathematics, computer science, or a related field. Proficiency in programming languages such as Python or R, experience with data visualization tools like Tableau, and a working knowledge of databases such as SQL are typically required. Strong communication skills, attention to detail, and the ability to collaborate with coaches and other stakeholders help set top analysts apart. These skills are essential for transforming complex data sets into actionable insights that directly impact team strategy and performance.

What are the typical challenges faced by NFL data analysts in their day-to-day work?

NFL Data Analysts often deal with large, complex, and often incomplete datasets, which can require creative problem-solving and data cleaning skills. Tight deadlines around games and decision-making mean analysts must work efficiently while maintaining high accuracy in their work. Additionally, translating technical findings into meaningful insights for coaches, scouts, and executives requires strong communication and presentation abilities. Working collaboratively within a multidisciplinary team and staying up-to-date with the latest analytical techniques are also essential to staying effective in this fast-paced and evolving environment.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve team decision-making using statistical analysis and data visualization tools. These roles typically require knowledge of sports analytics, programming skills, and familiarity with sports data sources.

How do I become an NFL data analyst?

To become an NFL data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with sports analytics, understanding of football metrics, and the ability to interpret large datasets are also important for this role.

How much does an NFL data analyst make?

An NFL data analyst typically earns between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while experienced professionals with specialized skills in data analysis and sports analytics can earn higher compensation, often supplemented with bonuses or benefits.

What are the most commonly searched types of Nfl Data Analyst jobs in Virginia?

The most popular types of Nfl Data Analyst jobs in Virginia are:

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For Nfl Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Nfl Data Analyst jobs in Virginia look for?

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Nfl Data Analyst jobs near you
Infographic showing various Nfl Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Scientist

CACI International, Inc.

Norfolk, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

Job Title: Data Scientist
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI has an immediate opening for a Data Scientist supporting the United States Fleet Forces Command (USFFC) N41 under the Naval Forces Logistics (NFL) II contract on site at our Hampton Roads location.
In this role, you will bridge the gap between complex military logistics operations and advanced analytics. You will formulate and lead guided, multifaceted analytic studies against massive volumes of structured and unstructured data. Because predictive modeling relies on a flawless data foundation, a major component of this role involves hands-on data engineering, building the pipelines, cleaning the data, and organizing the datasets required to drive advanced analytics.
As a Lead, you will manage the day-to-day execution of data projects, provide technical oversight, and ensure the integrity, accessibility, and readiness of data for real-time operational decision making.
Responsibilities:
Data Science & Advanced Analytics
  • Formulate and lead guided, multifaceted analytic studies using exploratory mathematics, statistical techniques, and the scientific method.
  • Apply advanced methods including machine learning, statistical modeling, and artificial intelligence to measure and improve logistical outcomes.
  • Build predictive models and machine-learning algorithms, combining them through ensemble modeling to discover hidden trends and patterns.
  • Experiment against data points to extract actionable insights and provide previously undiscovered solutions to command data challenges.

Data Engineering & Architecture
  • Clean, massage, and organize highly complex, unstructured, and structured datasets using modern programming languages (e.g., Python, R, Java, C++).
  • Align and optimize: Work closely with all stakeholders to align your data pipelines and deliverables with the established strategy for the long-term data platform architecture.
  • Design and streamline scalable ETL/ELT data pipelines, SQL queries, and models to optimize overall system performance.
  • Build interactive dashboards and reports utilizing enterprise visualization tools to deliver clear insights to senior leadership.
  • Act as lead and oversee data governance.
  • Present information and deliver clear insights to senior leadership using advanced data visualization techniques and enterprise dashboard.

Project Leadership & Governance
  • Lead data analytics efforts by delegating tasks, managing project workflows, and serving as the primary liaison to external departments.
  • Develop methodology and processes for the prioritization and scheduling of team projects.
  • Analyze problems to determine root causes and implement data quality, validation, and governance protocols.

Qualifications:
Required:
  • Current and active Secret Clearance
  • Bachelor's degree Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or a relevant technical field. Masters Degree preferred (In lieu of the Master's degree, ten (10) years of industry experience in data science may be substituted. (Note: Education equivalency experience is in addition to the minimum 5 years of experience, totaling 15 years of experience without a Master's degree).
  • 10 or more years of experience in a software development, logistics, data science or related role. Of which must include at least five (5) years of professional experience in data science.
  • Proven experience designing scalable data pipelines using Medallion Architecture (Bronze, Silver, Gold layers).
  • Advanced SQL for complex transformations/query optimization, alongside Python or PySpark for data wrangling and automation.
  • Expertise in data modeling (star/snowflake schemas, Kimball, Inmon), ERDs, semantic modeling, and modern tools like dbt.
  • Hands-on experience with Databricks, Apache Spark, Snowflake, Redshift, BigQuery, AWS, Azure, or GCP data engineering services.
  • Direct experience utilizing the War Data Platform (ADVANA), Maven/Palantir platforms, and Qlik Sense for data integration.
  • Familiarity with legacy data lakes (Hadoop, Delta Lake), real-time streaming tools (Apache Kafka, Flink), and modern CI/CD pipelines (Infrastructure as Code).
  • Proficiency in at least one programming language (e.g., Python, R, Java, C++).
  • Demonstrated experience leading a team

Desired:
  • Minimum of eight (8) years of hands-on experience in a combination of Navy logistics and Navy logistics Automated Information Systems (AIS) management.
  • Software Development skills

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$114,600-$252,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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