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Remote Political Science Data Analytics Jobs in Riverside, CA

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Remote Political Science Data Analytics information

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$25

$57

$98

How much do remote political science data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote political science data analytics in Riverside, CA is $57.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are the most commonly searched types of Political Science Data Analytics jobs in Riverside, CA?

The most popular types of Political Science Data Analytics jobs in Riverside, CA are:

What are popular job titles related to Remote Political Science Data Analytics jobs in Riverside, CA?

For Remote Political Science Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Political Science Data Analytics jobs in Riverside, CA look for?

The top searched job categories for Remote Political Science Data Analytics jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Political Science Data Analytics jobs?

Cities near Riverside, CA with the most Remote Political Science Data Analytics job openings:

Marketing Advisor Sports Clubs & Leagues

iShare Inc

Redlands, CA โ€ข Remote

$50 - $52/hr

Part-time

Posted 2 days ago

New


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.