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Nfl Data Analytics Jobs in Seattle, WA (NOW HIRING)

Analytics Engineer

Seattle, WA · Hybrid

$163K - $170K/yr

Under the supervision of the Manager, Reconciliation BI Analytics, the Analytics Engineer will lead mission-critical data engineering initiatives that support Remitly's Non-Fraud Loss (NFL) program ...

Director, Creative AI SOlutions

Kirkland, WA · On-site

$182.60 - $247.10/hr

... Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class ... Collaborate closely with our creative, production, studio, analytics, marketing, data, engineering ...

Nfl Data Analytics information

See Seattle, WA salary details

$65

$67

$68

How much do nfl data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for nfl data analytics in Seattle, WA is $67.41, according to ZipRecruiter salary data. Most workers in this role earn between $66.73 and $68.12 per hour, depending on experience, location, and employer.

What is an NFL Data Analytics?

An NFL Data Analytics job involves collecting, interpreting, and visualizing football-related data to support teams, coaches, and analysts in making informed decisions. Professionals in this role use statistical models and machine learning techniques to evaluate player performance, game strategies, and scouting insights. They work with large datasets, including player tracking data and in-game statistics, to optimize team performance, prevent injuries, and gain a competitive edge. These roles can be found within NFL teams, media companies, or technology firms specializing in sports analytics. Strong skills in programming, data analysis, and football knowledge are essential for success in this field.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve team decision-making. These analysts often use statistical tools, data visualization, and sports analytics software to support coaching and management staff.

What are the key skills and qualifications needed to thrive in the NFL Data Analytics position, and why are they important?

To thrive in NFL Data Analytics, you need strong skills in statistics, data modeling, programming (such as Python or R), and a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with data visualization tools, advanced analytics platforms, and sports-specific databases is highly valued, with certifications in data analytics being a plus. Excellent attention to detail, collaboration, and communication skills are essential for presenting insights to coaches and executives. These competencies ensure data-driven decision-making that directly impacts team performance and strategy.

What are the typical responsibilities of an NFL Data Analytics professional during the football season?

During the football season, NFL Data Analytics professionals are responsible for collecting and analyzing player and team performance data, preparing reports for coaches, and generating predictive models for upcoming games. They often collaborate with coaching staff and scouts to translate data insights into actionable game plans, while also monitoring player health and workload metrics. The role may also involve real-time analysis during games to support strategy adjustments. Being able to communicate complex analyses clearly to non-technical stakeholders is a frequent and critical task.

How to become an NFL Data Analytics analyst?

To become an NFL Data Analytics analyst, candidates typically need a bachelor's degree in fields like statistics, data science, or sports management. Strong skills in programming languages such as Python or R, experience with data visualization tools, and knowledge of football metrics are important. Gaining experience through internships or projects related to sports analytics can also improve job prospects.
What are popular job titles related to Nfl Data Analytics jobs in Seattle, WA? For Nfl Data Analytics jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Nfl Data Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution, with an average salary of $140,216 per year, or $67.4 per hour.

Analytics Engineer

Remitly

Seattle, WA • Hybrid

$163K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

Under the supervision of the Manager, Reconciliation BI Analytics, the Analytics Engineer will lead mission-critical data engineering initiatives that support Remitly's Non-Fraud Loss (NFL) program, enabling loss detection, attribution, and reduction across products and geographies. Telecommuting is available up to 3 days per week within the Seattle Metropolitan area, based on manager approval.

You Will:

  • Design and build reliable, scalable ETL pipelines and unified data workflows, including automated tagging, reporting logic, and core semantic-layer infrastructure.

  • Architect dimensional data models that support self-service analytics, ensure consistency across datasets, and scale with evolving business needs.

  • Develop end-to-end analytics and dashboard solutions, from backend data transformations to intuitive front-end visualizations, using tools such as Tableau or Mode and applying strong UX best practices.

  • Ensure data integrity, performance, and governance across BI assets through structured testing, documentation, and quality-assurance processes.

  • Expand analytics and reporting capabilities to new products and program requirements by collaborating with cross-functional teams to design and refine reporting logic.

  • Support and train business users to strengthen data fluency, encourage BI tool adoption, and promote effective use of analytics products.

You Have:

  • Position requires a Master's degree in Data Science, Business Analytics, Information Systems, or a related quantitative or computing field, and 3 years of experience with business interface development, end-to-end analytics engineering, and quantitative product data analysis.

  • 3 years of experience with using SQL to design performant, reusable data models.

  • 3 years of experience with designing and implementing scalable data pipelines and reporting systems for high-volume, business-critical use cases, including automation of tagging and reporting logic.

  • 3 years of experience with applying product-level data analysis to reduce operational lift and enable real-time monitoring at scale.

  • 3 years of experience with delivering actionable insights to leadership through intuitive, scalable dashboards, including optimization of dashboard performance.

  • 3 years of experience with utilizing BI and analytics tools including AWS Redshift, AWS QuickSight, AWS SageMaker, AWS Glue, Git, Power BI, Tableau.

  • 3 years of experience with conducting A/B testing and causal inference analysis.

  • 3 years of experience with working with big-data and programming tools such as Hadoop, Hive, Java, Python (including Scikit-Learn and SciPy), Spark, and R to build machine-learning or advanced analytical solutions.

Compensation Details. The starting base salary range for this position is typically $163,322.00 -$170,000.00. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

Our Benefits:

  • Flexible paid time off

  • Health, dental, and vision + 401k plan with company matching

  • Paid parental, medical, military and family care leave

  • Mental Health & Family Forming Benefits

  • Employee Stock Purchase Plan (ESPP)

  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.