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Sports Analytics Jobs in Riverside, CA (NOW HIRING)

OC Sports and Entertainment

CRM Analyst

Anaheim, CA · On-site

$84K - $94K/yr

Join our team to help create and develop the future of live entertainment and sports in Orange ... CRM Analyst Pay Details: The annual base salary range for this position in California is $84,500 to ...

OC Sports and Entertainment

CRM Analyst

Anaheim, CA · On-site

$84K - $94K/yr

Join our team to help create and develop the future of live entertainment and sports in Orange ... The CRM Analyst is a full-time, exempt position reporting to the Anaheim Ducks Senior Director ...

OCVIBE

Financial Analyst, OCSE

Anaheim, CA · On-site

$90K - $125K/yr

... driven analytics that support OC Sports & Entertainment. This position will play a significant role in the timely delivery and presentation of the annual budget, rolling forecasts, and monthly ...

OCVIBE

Financial Analyst, OCSE

Anaheim, CA · On-site

$90K - $125K/yr

... driven analytics that support OC Sports & Entertainment. This position will play a significant role in the timely delivery and presentation of the annual budget, rolling forecasts, and monthly ...

Anaheimducks

Financial Analyst, OCSE

Anaheim, CA · On-site

$90K - $125K/yr

... driven analytics that support OC Sports & Entertainment. This position will play a significant role in the timely delivery and presentation of the annual budget, rolling forecasts, and monthly ...

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All JobsSports Analytics JobsSports Analytics Jobs in Riverside, CA

Sports Analytics information

See Riverside, CA salary details

$67.3K

$130.7K

$186.7K

How much do sports analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for sports analytics in Riverside, CA is $130,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $155,400.00 per year, depending on experience, location, and employer.

What is sports analytics?

Sports analytics is a field of applied statistics that uses past performance data to provide a competitive advantage to a team or individual player. By using data, an analyst can make suggestions on strategies for a given game, monitor the performance of a player, and provide quick analysis of potentially record-setting activities. Sports analytics focuses on two areas: on-field and off-field. The on-field analysis helps improve the tactics and fitness of players, while the off-field analysis focuses on the business and merchandising aspect of sports. Sports analytics is also used in sports gambling to help casinos and similar companies decide on which odds to offer to customers.

What is sports analytics?

Sports analytics refers to the use of data and statistical methods to analyze athletic performance, strategies, and business operations within the sports industry. Professionals in this field collect and interpret data to help teams make informed decisions about player recruitment, game tactics, injury prevention, and fan engagement. The insights gained from sports analytics can provide a competitive edge and drive improvements both on and off the field. With advances in technology, the scope of sports analytics has expanded to include machine learning, video analysis, and wearable devices.

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

To thrive as a Sports Analyst, you need strong statistical analysis skills, a solid understanding of sports rules and strategies, and often a degree in statistics, data science, or a related field. Familiarity with analytics software such as R, Python, SQL, and sports-specific databases is typically expected. Attention to detail, critical thinking, and effective communication help interpret complex data and present actionable insights to coaches and teams. These capabilities are vital for making data-driven decisions that improve team performance and competitive edge.

How does a sports analytics professional typically collaborate with coaches and athletes to influence game strategies?

Sports analytics professionals work closely with coaches and athletes by providing data-driven insights that inform tactical decisions and player development. They often translate complex statistical findings into actionable recommendations, such as identifying strengths and weaknesses or optimizing lineups. Effective collaboration requires strong communication skills and the ability to tailor analyses to the team's goals, ensuring that data supports real-time decision-making and long-term strategy. Regular meetings, presentations, and feedback sessions are common to ensure alignment between analytics staff and on-field personnel.

What is the difference between Sports Analytics vs Sports Data Analyst?

AspectSports AnalyticsSports Data Analyst
CredentialsDegree in statistics, data science, sports managementDegree in statistics, data science, sports management
Work EnvironmentResearch, modeling, strategic planning in sports organizationsData collection, analysis, reporting for teams and organizations
Industry UsageUsed for performance optimization, game strategy, player evaluationUsed for data reporting, insights, and performance tracking

Sports Analytics and Sports Data Analysts share similar educational backgrounds and work environments, focusing on data-driven decision making in sports. While Sports Analytics often involves developing models and strategic insights, Sports Data Analysts primarily focus on collecting and reporting data. Both roles are essential in sports organizations, but Sports Analytics tends to have a broader scope in strategic planning and predictive modeling.

How do I get into sports analytics?

To pursue a career in sports analytics, develop strong skills in statistics, data analysis, and programming languages such as Python or R. Gaining experience through internships, building a portfolio of projects, and understanding sports data sources can improve your prospects; a background in sports management or related fields is also beneficial.

What are careers in sports analytics?

Careers in sports analytics involve analyzing data to evaluate player performance, team strategies, and game outcomes. Professionals typically use statistical software, programming languages like Python or R, and possess strong knowledge of sports and data analysis techniques. Common roles include sports analyst, data scientist, and performance analyst, often requiring a background in statistics, computer science, or related fields.

Will sports analytics jobs be replaced by AI?

Sports analytics jobs involve analyzing data to inform team strategies and player performance, requiring skills in statistics, programming, and domain knowledge. While AI tools can automate data processing and generate insights, human expertise remains essential for interpreting results and making strategic decisions, so these roles are likely to evolve rather than be fully replaced.
More about Sports Analytics jobs

What are the most commonly searched types of Sports Analytics jobs in Riverside, CA?

The most popular types of Sports Analytics jobs in Riverside, CA are:

What are popular job titles related to Sports Analytics jobs in Riverside, CA?

For Sports Analytics jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Sports Analytics jobs in Riverside, CA look for?

The top searched job categories for Sports Analytics jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Sports Analytics jobs?

Cities near Riverside, CA with the most Sports Analytics job openings:

Sports Analytics jobs near you
Infographic showing various Sports Analytics job openings in Riverside, CA as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution, with an average salary of $130,749 per year, or $62.9 per hour.

Marketing Advisor Sports Clubs & Leagues

iShare Inc

Redlands, CA • Remote

$50 - $52/hr

Part-time

Posted 6 days ago

Job description

Marketing Advisor – Sports Clubs & LeaguesJob Type: Independent Consultant / Advisor
Engagement: 3 Months, with potential extension
  Work Arrangement: Remote
Reporting To: Sales Team
  • Marketing advisor: Must have US sports clubs/ leagues experience

About the Opportunity
We are seeking a Senior Sports Marketing Advisor with deep expertise in sports marketing, fan engagement, campaign strategy, sponsorship activation, audience growth, CRM, digital marketing, and commercial marketing.
The advisor will support the organization in developing and positioning marketing solutions for sports clubs, leagues, teams, and related sports organizations. The role will focus on helping clients improve marketing effectiveness, fan engagement, personalization, campaign execution, and measurable revenue outcomes.
Key Responsibilities
Marketing & Business Development
  •  Build relationships with senior marketing, fan engagement, sponsorship, CRM, digital, and commercial leaders within sports organizations. 
  •  Support positioning of marketing solutions and communicate their business value and relevant use cases. 
  •  Participate in executive briefings, client discovery calls, opportunity discussions, and GTM planning. 
  •  Identify qualified sports marketing opportunities and support the sales cycle through SOW signing. 
  •  Provide market intelligence on sports marketing priorities, buying centers, challenges, and investment trends. 
  •  Identify adjacent opportunities across data, AI, analytics, digital operations, sponsorship, revenue growth, and fan experience. 
Sports Marketing Advisory
  •  Fan acquisition, retention, loyalty, and lifecycle marketing. 
  •  Campaign strategy, execution, measurement, and optimization. 
  •  Audience segmentation and personalization. 
  •  CRM, CDP, Fan 360, and marketing data activation. 
  •  Sponsorship activation and ROI measurement. 
  •  Digital, social, email, mobile, web, and omnichannel engagement. 
  •  Ticketing, memberships, merchandise, sponsorship, and subscription revenue growth. 
Sponsorship & Revenue Analytics
  •  Measure and improve sponsorship ROI. 
  •  Optimize sponsorship inventory and activation performance. 
  •  Identify opportunities to improve ticket sales and membership revenue. 
  •  Support dynamic pricing, subscription, merchandising, and commercial analytics initiatives. 
AI & Data Opportunities
  •  AI-powered fan engagement. 
  •  Predictive analytics and churn prediction. 
  •  Next-best-action recommendations. 
  •  GenAI-driven fan experiences. 
  •  Marketing and content optimization. 
  •  Fan 360 and personalized fan journeys. 
Required Qualifications
  • 15+ years of experience in sports marketing, fan engagement, CRM, sponsorship marketing, digital marketing, campaign management, marketing operations, or commercial marketing. 
  •  Strong experience working with sports clubs, leagues, teams, governing bodies, rights holders, or sports properties. 
  •  Experience with major professional sports organizations, leagues, or sports properties is highly preferred. 
  •  Strong executive presence and ability to engage with CMOs, CROs, sponsorship leaders, fan engagement leaders, digital leaders, and data/analytics executives. 
  •  Proven ability to translate sports marketing challenges into business and GTM opportunities. 
  •  Strong understanding of sports business operations and commercial models. 
  •  Knowledge of CRM, CDP, loyalty/membership platforms, fan engagement technologies, data & analytics, AI, and digital transformation. 
Network Requirements
Established relationships with:
  •  Chief Marketing Officers (CMOs) 
  •  Chief Revenue Officers (CROs) 
  •  Sponsorship Leaders 
  •  Fan Engagement Leaders 
  •  Digital Transformation Leaders 
  •  Data & Analytics Leaders 
  •  Senior executives across sports clubs, leagues, teams, and sports properties 
Success Metrics
  •  Marketing-led executive introductions generated. 
  •  Qualified sports marketing opportunities sourced. 
  •  Strategic meetings arranged with key decision-makers. 
  •  Marketing solution discussions initiated. 
  •  Adjacent marketing, data, AI, and analytics opportunities identified. 
  •  Pipeline and revenue influenced. 
  •  SOWs supported or influenced through signing. 
Engagement Details
  • Duration: 3 months initially, with potential extension. 
  • Work Arrangement: Remote. 
  • Reporting: Sales Team. 
  • Scope: Support the end-to-end sales cycle through SOW signing. 

This is a remote position.