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Player Analysis Jobs (NOW HIRING)

Rush Street Interactive

Lead Analyst, Player Analytics

$100K - $140K/yr

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 ...

Prescient Edge

Role Player

Jacksonville, NC · On-site

Job Title Role Player Location Jacksonville, NC 28540 US (Primary) Category Intelligence Job Type ... We are a global operations and solutions integrator delivering full-spectrum intelligence analysis ...

Winnavegas Casino Resort

Database Specialist

Sloan, IA · On-site

$20.67 - $27.88/hr

This position assists in maintaining accurate player information, preparing database analytics, and supporting direct and digital mail programs designed to increase guest loyalty, visitation, and ...

Constellis

Role Player

Moyock, NC · On-site

POSITION SUMMARY The Role Player will participate in various situational training exercises and ... Problem-solving skills with an analytical thought process * Ability to adapt to a rapidly changing ...

Constellis

Role Player

Moyock, NC · On-site

POSITION SUMMARY The Role Player will participate in various situational training exercises and ... Problem-solving skills with an analytical thought process * Ability to adapt to a rapidly changing ...

Golden Nugget

Player Development Manager

Stateline, NV · On-site

Track and analyze VIP marketing (hosted players) database to monitor Player Development activities and forecast future performance of events and adjust plans accordingly. * Work with Casino and ...

DraftKings, Inc.

Player Development Executive

Compile and analyze data to identify trends to maximize player performance. * Proactively offers solution-based suggestions to help enhance the customer experience. * Participate in the escalation ...

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Player Analysis information

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$5

$28

$79

How much do player analysis jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for player analysis in the United States is $28.06, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $43.27 per hour, depending on experience, location, and employer.

How does a player analysis professional typically collaborate with coaching staff and athletes to improve team performance?

Player Analysis professionals work closely with coaches and athletes by providing data-driven insights on individual and team performance. They analyze game footage, track player statistics, and identify strengths, weaknesses, and opportunities for improvement. This information is communicated through reports, presentations, and direct consultations, helping inform training plans and tactical decisions. Regular collaboration ensures that analysis is aligned with coaching objectives and supports continuous player development.

How do I get into player analysis?

To pursue a career in player analysis, develop skills in data analysis, statistics, and sports or game-specific knowledge. Gaining experience with tools like Excel, SQL, or data visualization software, and obtaining relevant certifications or degrees in sports management, data science, or related fields can improve your prospects.

What is the difference between Player Analysis vs Player Scout?

AspectPlayer AnalysisPlayer Scout
CredentialsSports science degrees, analytics certificationsScouting certifications, sports management background
Work EnvironmentData analysis labs, sports teams' analytics departmentsStadiums, training grounds, travel for scouting
Industry UsageUsed by teams for performance improvementUsed by teams and agencies for talent identification
Search & Comparison IntentFocuses on data-driven player performance evaluationFocuses on talent scouting and recruitment

Player Analysis involves evaluating player performance through data and analytics, often working in labs or with sports teams. Player Scout focuses on identifying and recruiting talent through observation and scouting trips. Both roles are essential in sports but serve different purposes within team management and player development.

What are the key skills and qualifications needed to thrive as a player analyst, and why are they important?

To thrive as a Player Analyst, you need strong analytical skills, expertise in data collection and interpretation, and usually a background in sports science, statistics, or a related field. Familiarity with video analysis software, performance tracking systems, and data visualization tools is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for translating complex data into actionable insights for coaches and athletes. These skills ensure that performance trends are accurately identified and leveraged to enhance team strategy and individual player development.

What is player analysis?

Player analysis is the process of evaluating the performance, skills, and behaviors of athletes using data and observational techniques. This can involve reviewing match footage, tracking statistics, and using specialized software to assess an individual player's strengths and weaknesses. The goal is to provide actionable insights that coaches and teams can use to improve performance, develop training programs, and make strategic decisions. Player analysts may work in various sports and collaborate closely with coaching staff and sports scientists.
More about Player Analysis jobs
What job categories do people searching Player Analysis jobs look for? The top searched job categories for Player Analysis jobs are:
Infographic showing various Player Analysis job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $58,358 per year, or $28.1 per hour.

Lead Analyst, Player Analytics

Rush Street Interactive

OR • Remote

Full-time

Posted 18 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

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