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Remote Sports Analytics Jobs in Oregon (NOW HIRING)

Spectra

Title Concur Administrator | Full-Time | Remote

$82K - $106K/yr

Reporting and Analysis * Create, customize, and maintain Concur reports and dashboards to support T ... United to Make a Difference At OVG, we understand that to continue positively disrupting the sports ...

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All JobsSports Analytics JobsRemote Sports Analytics JobsRemote Sports Analytics Jobs in Oregon

Remote Sports Analytics information

See Oregon salary details

$68.2K

$132.5K

$189.3K

How much do remote sports analytics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote sports analytics in Oregon is $132,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $157,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote sports analytics professional?

To thrive as a Remote Sports Analytics professional, you need strong analytical abilities, a background in statistics or data science, and a comprehensive understanding of sports, often supported by a relevant degree. Proficiency in analytical tools such as Python, R, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, effective communication, and problem-solving skills are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decisions, impactful reporting, and valuable contributions to team or organizational performance.

What are some common challenges faced by professionals working in remote sports analytics, and how can they be addressed?

Remote sports analytics professionals often face challenges such as collaborating effectively with team members across different time zones, accessing real-time data feeds, and maintaining clear communication with coaches and decision-makers who may be on-site. To overcome these hurdles, it's important to leverage collaboration tools, establish regular virtual check-ins, and ensure robust data security protocols. Building strong digital communication skills and being proactive about sharing insights can help bridge the gap between remote analysts and on-site teams.

What is remote sports analytics?

Remote sports analytics involves analyzing sports data and statistics from a location outside of traditional sports venues, often using digital tools and software. Professionals in this field use data analysis, machine learning, and visualization techniques to evaluate player performance, team strategies, and game outcomes. This role can be performed from home or any remote location, making it accessible to analysts who may not be physically present at sporting events. Remote sports analysts often work for professional teams, sports organizations, media outlets, or technology companies that provide analytics services.
What are the most commonly searched types of Sports Analytics jobs in Oregon? The most popular types of Sports Analytics jobs in Oregon are:
What are popular job titles related to Remote Sports Analytics jobs in Oregon? For Remote Sports Analytics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Sports Analytics jobs in Oregon look for? The top searched job categories for Remote Sports Analytics jobs in Oregon are:
What cities in Oregon are hiring for Remote Sports Analytics jobs? Cities in Oregon with the most Remote Sports Analytics job openings:
Remote Sports Analytics jobs near you
Infographic showing various Remote Sports Analytics job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $132,506 per year, or $63.7 per hour.

Lead Analyst, Player Analytics

Rush Street Interactive

OR • Remote

Other

Posted 12 days ago

Job description

We're looking for a Lead Analyst to own growth and player behavior analytics across our sportsbook, casino, and poker products. This is a high-visibility, self-directed role that sits at the intersection of analytics and business strategy. You'll partner closely with Revenue Operations, Marketing, Product, and VIP to surface insights that directly drive player engagement and retention.  This role goes beyond reporting and dashboarding, emphasizing analytical problem-solving, business partnership, and data-driven recommendations.

The right candidate has strong analytical instincts, comfort with ML tooling, and a habit of using AI to push work further and faster. You'll operate with autonomy, identifying the right questions, building the right frameworks, and turning analysis into recommendations stakeholders can act on.

What You'll Do

Growth & retention analytics

  • Partner with Revenue Operations, Marketing, Product and VIP to prioritize and execute analytics initiatives focused on player growth and long-term retention.

Bonus performance & optimization

  • Manage end-to-end analytics on bonus programs- measuring performance, developing engagement strategies, and optimizing structures for both player value and ROI.

Player behavior & segmentation

  • Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities. Translate findings into personalization strategies and product recommendations.

Advanced analytics & AI tooling

  • Apply ML techniques and AI tools to accelerate insight generation, build predictive models, and continuously raise the ceiling of what the analytics function can deliver.

What You'll Bring:

  • 3+ years in analytics, ideally within gaming, sports betting, or a consumer product with meaningful behavioral data.
  • Bachelor's degree in mathematics, Economics, Engineering, Computer Science, or a related quantitative field preferred or equivalent relevant experience.
  • You have strong SQL fundamentals, with a command of advanced concepts like window functions, CTEs, and complex aggregations.
  • You are comfortable working directly in Snowflake, writing efficient queries against large datasets.
  • You are proven at working cross-functionally and can distill complex analysis into clear narratives and actionable recommendations for non-technical audiences.
  • You bring a solid understanding of A/B testing and experimental design, including statistical significance and translating test results into business context.
  • You have experience with funnel and cohort analysis, including modeling player lifecycle stages, retention curves, and engagement funnels.
  • You have working knowledge of ML concepts and hands-on experience applying AI tools to analytics workflows.
  • Familiarity with dbt transformation workflows and model structuring preferred.
  • Python proficiency, whether for analysis, automation, or lightweight ML work preferred.
  • Working knowledge of segmentation models, propensity scoring, churn prediction, or LTV modeling preferred.
  • Experience in gaming or iGaming, including familiarity with sportsbook, casino, or poker product mechanics and player economics preferred.
  • Experience with incentive or promotion analytics is also a plus.
  • Able to travel occasionally both domestically and internationally #LI-REMOTE

Apply