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Nfl Data Analytics Jobs in Oregon (NOW HIRING)

Senior Accounting Associate

OR · Remote

$100K - $120K/yr

Experience with process automation, data analytics, or AI-enabled workflows * Experience working in ... NFL season) * 16 weeks of fully paid parental leave * Home office stipend * A connected virtual ...

Senior Manager, User Acquisition

OR · Remote

$150K - $185K/yr

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

Director, Offline Media

OR · Remote

$175K - $220K/yr

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

... 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 ...

... 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 Jul 30, 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 job?

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 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.

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 July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $130,268 per year, or $62.6 per hour.

Product Marketing Manager - Full-Time/Contract

Underdog

OR • Remote

$100/hr

Other

Posted 13 days ago


Job description

About the role

Underdog is looking for a Product Marketing Manager to help drive how we bring new products, features, and sport tentpole moments to life for our users. This role sits at the intersection of product, growth, and creative, owning positioning, launch strategy, and lifecycle marketing across our fantasy sports and prediction market offerings.

You'll partner closely with Product, Data, Creative, and Growth teams to turn what we build into stories and campaigns that drive adoption, engagement, and retention. This is a high-visibility role for someone who is genuinely obsessed with sports and understands the fantasy sports / prediction market space from the inside.

  • Develop go-to-market strategy, messaging, and positioning for new products and features, from internal betas through full-scale launch
  • Lead marketing strategy around major sport moments (NFL kickoff, March Madness, MLB Opening Day, etc.), coordinating timing, messaging, and channel strategy to maximize impact
  • Design and execute campaigns that drive awareness and habitual use of existing features, working with lifecycle/CRM to build the right nudges at the right moments
  • Act as the connective tissue between Product, Data/Analytics, Creative, Growth, Promo, and Comms, ensuring marketing plans are grounded in user insight and business priorities
  • Build and manage launch plans and campaign briefs, including audience segmentation, messaging frameworks, and success metrics
  • Partner with Product on roadmap input, ensuring marketing considerations (naming, positioning, timing) are baked in early
  • Collaborate with Creative on assets that reflect Underdog's brand voice and resonate with sports fans and bettors
  • Work with Data/Analytics to define KPIs, measure campaign performance, and translate results into next steps
  • Stay ahead of the sports calendar and prediction market/fantasy landscape to anticipate opportunities and competitive moves
  • Partner with Promo to align product launches and tentpole campaigns with promotional offers, incentive structures, and timing
  • Represent the voice of the user in product and marketing conversations, you know what makes a fantasy/prediction market player tick
Who you are
  • 6+ years of marketing experience, with a track record in product marketing, growth marketing, or lifecycle marketing
  • Genuine sports interest and fluency, you follow multiple sports closely and understand fan/bettor behavior and culture
  • Fantasy sports and/or prediction market experience is a must, whether from working in the industry, or as a deeply engaged player/user who understands the mechanics, terminology, and what drives engagement
  • Strong project management skills, comfortable owning multiple launches/campaigns simultaneously with tight sport-calendar deadlines
  • Experience translating data and user insights into marketing strategy
  • Excellent written and verbal communication; able to flex tone across channels and audiences
  • Comfortable operating cross-functionally in a fast-moving, deadline-driven environment
Even Better If You Have
  • Experience marketing regulated products (sports betting, DFS, or similar)
  • Familiarity with tools like Amplitude, Intercom, or AppsFlyer
  • A personal history of playing fantasy sports or prediction markets competitively

Our target hourly rate for this position is $100hour. The starting rate will depend on a number of factors including the candidate's skills and experience, among other things.

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