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Nfl Data Analytics Jobs in Oregon (NOW HIRING)

User Acquisition Manager

OR · On-site +1

$120K - $145K/yr

Work closely with Analytics and Data Science to validate attribution, forecast accurately, and ... the NFL season) * 16 weeks of fully paid parental leave * Home office stipend * A virtual-first ...

Senior Manager, User Acquisition

OR · On-site +1

$150K - $185K/yr

Work closely with Analytics and Data Science to validate attribution, forecast accurately, and ... the NFL season) * 16 weeks of fully paid parental leave * Home office stipend * A virtual-first ...

Director, Offline Media

OR · On-site +1

$175K - $220K/yr

Partner with Data Science, Analytics, and Marketing Operations to improve attribution, reporting ... the NFL season) * 16 weeks of fully paid parental leave * Home office stipend * A virtual-first ...

Senior Software Engineer - React Native

OR · On-site +1

$150K - $220K/yr

Use data like product analytics, error dashboards, and session data to validate that fixes actually ... the NFL season) * 16 weeks of fully paid parental leave * Home office stipend * A virtual-first ...

... in NFL, CFL, MLS, and at renowned NCAA division I programs. Join the team behind renowned names ... Oversee ADP master administration and payroll data integrity. Unions and Certified Payroll * Manage ...

... in NFL, CFL, MLS, and at renowned NCAA division I programs. Join the team behind renowned names ... Oversee ADP master administration and payroll data integrity. Unions and Certified Payroll * Manage ...

Tax Manager

OR · On-site +1

$128K - $160K/yr

Partner with Product, Engineering, and Data to develop and maintain customer-facing tax ... Coordinate the company's R&D tax credit analysis and support the collection and documentation of ...

... in NFL, CFL, MLS, and at renowned NCAA division I programs. Join the team behind renowned names ... Oversee ADP master administration and payroll data integrity. Unions and Certified Payroll * Manage ...

... in NFL, CFL, MLS, and at renowned NCAA division I programs. Join the team behind renowned names ... Oversee ADP master administration and payroll data integrity. Unions and Certified Payroll * Manage ...

Nfl Data Analytics information

See Oregon salary details

$60

$62

$63

How much do nfl data analytics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for nfl data analytics in Oregon is $62.63, according to ZipRecruiter salary data. Most workers in this role earn between $62.02 and $63.27 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.

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.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software, and may involve working closely with coaching staff and management.

How to become an NFL Data Analytics analyst?

To become an NFL Data Analytics analyst, you typically need a bachelor's degree in fields like statistics, data science, or sports management. Developing skills in programming languages such as Python or R, and proficiency with data visualization tools like Tableau, are also important. Gaining experience through internships or projects related to sports analytics can improve job prospects.

What are popular job titles related to Nfl Data Analytics jobs in Oregon?

For Nfl Data Analytics jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Nfl Data Analytics jobs?

Cities in Oregon with the most Nfl Data Analytics job openings:

Infographic showing various Nfl Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,268 per year, or $62.6 per hour.

Analytics Engineer 5 - New Content Experiences DSE

Netflix

OR • On-site, Remote

$330K - $566K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Analytics Engineer to join our New Content Experiences DSE team.

The New Content Experiences team focuses on introducing new content types and innovative experiences to our product. We partner closely with Product, Design, Algorithms, Content, and Engineering to surface opportunities, influence the product strategy, and evaluate the success of different initiatives. The most recently launched example of a New Content Experience is our Live offering (including WWE and the NFL Christmas games among other great hits!).

As part of a team of Data Scientists and Analytics Engineers, you will lead end-to-end product analytics for the space, which is key to a successful New Content Experiences ecosystem. This role will partner closely with our stakeholders from Product and Technology to do advanced analytics that will inform the product, design, and engineering strategies to support the development and performance of our New Content Experiences portfolio. As an early member of the team, you will also help shape our overall Data Strategy, monitoring, and decision frameworks.

In this role, you will: Partner directly with our stakeholders (e.g., Data Scientists, Product Managers, Designers, Engineers) on data, metrics & analytics initiatives Lead end-to-end development of analysis and tools used by your direct stakeholders and a diverse set of teams across the company Responsible for analyzing and interpreting data to provide valuable insights and recommendations to enhance the member experience and improve product performance Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis Drive the direction and execution of your work, which spans from developing scrappy analysis and tools to designing scalable systems We are looking for: Exceptional communication and collaboration skills coupled with strong business curiosity and acumen 5+ years of industry experience in a data analytics or data science function 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range

The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits

We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997