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Volunteer Data Visualization Analyst Jobs in Riverside, CA

Recommend optimal data visualization solutions and eager to share/collaborate with reporting ... Up to 4 weeks of vacation per year plus holidays and time off for volunteering * Generous parental ...

Senior Financial Analyst

Irvine, CA

$91K - $114K/yr

Ability to communicate complex ideas in writing and through data visualization techniques to ... Monthly paid volunteer hours and donation matching to benefit our communities * Employee Resource ...

Business Analyst

Irvine, CA · On-site

$67K - $100K/yr

This includes transferring key reports from Excel to Power BI to enhance data visualization and accessibility. * Other duties as assigned by the Supervisor, Business Analytics. Position Requirements

This includes transferring key reports from Excel to Power BI to enhance data visualization and accessibility. * Other duties as assigned by the Supervisor, Business Analytics. Position Requirements

This includes transferring key reports from Excel to Power BI to enhance data visualization and accessibility. * Other duties as assigned by the Supervisor, Business Analytics. Position Requirements

This includes transferring key reports from Excel to Power BI to enhance data visualization and accessibility. * Other duties as assigned by the Supervisor, Business Analytics. Position Requirements

Advanced data analysis and modeling. Design and maintain scalable marketing data models that ... Data visualization, reporting, & data health monitoring. Develop dashboards and visualizations that ...

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Volunteer Data Visualization Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do volunteer data visualization analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for volunteer data visualization analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

Where can I volunteer as a data analyst?

Volunteer data visualization analysts can find opportunities through nonprofit organizations, community projects, or online platforms like Catchafire and DataKind that connect volunteers with data-related projects. These roles often require skills in data analysis tools such as Excel, Tableau, or Power BI and may involve flexible schedules or remote work.

What is the difference between Volunteer Data Visualization Analyst vs Data Analyst?

AspectVolunteer Data Visualization AnalystData Analyst
Required CredentialsTypically relevant skills, certifications in data visualization tools (e.g., Tableau, Power BI)Often requires a degree in data science, statistics, or related fields
Work EnvironmentVolunteer settings, non-profits, community projectsCorporate, government, or organizational environments
Employer & Industry UsageNon-profit organizations, NGOs, community groupsBusinesses, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding volunteer roles in data visualizationProfessional data analysis careers

The Volunteer Data Visualization Analyst focuses on creating visual data representations in volunteer or non-profit settings, often with less formal credentials. In contrast, Data Analysts typically work in professional environments requiring specific degrees and broader data analysis skills. Both roles involve data visualization, but their work contexts and credential requirements differ.

Is 40 too late for data science?

For a Volunteer Data Visualization Analyst or similar data roles, starting a career in data science at age 40 is feasible, especially with relevant skills like data analysis, visualization tools, and programming languages such as Python or R. Many professionals transition into data roles later in life, and experience can be an asset; continuous learning and certifications can enhance employability regardless of age.

Can I start data analyst with no experience?

A Volunteer Data Visualization Analyst role typically requires some knowledge of data analysis tools like Excel, Tableau, or Power BI, but many entry-level positions or volunteer opportunities are open to beginners. Gaining relevant skills through online courses, tutorials, or certifications can help you start with little to no experience, especially in volunteer or internship settings where practical skills are prioritized over formal credentials.

Will AI replace a data analyst?

AI can automate routine data processing and visualization tasks, but a data visualization analyst's role involves interpreting data contextually and communicating insights, which currently requires human judgment. While AI tools enhance efficiency, the role still relies on analytical skills, critical thinking, and domain knowledge that are difficult to fully automate.
What are popular job titles related to Volunteer Data Visualization Analyst jobs in Riverside, CA? For Volunteer Data Visualization Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Volunteer Data Visualization Analyst jobs in Riverside, CA look for? The top searched job categories for Volunteer Data Visualization Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Volunteer Data Visualization Analyst jobs? Cities near Riverside, CA with the most Volunteer Data Visualization Analyst job openings:
Director Strategic Analytics / BI Reporting / SQL / Data Modeling / Irvine

Director Strategic Analytics / BI Reporting / SQL / Data Modeling / Irvine

Motion Recruitment

Lake Forest, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Our client is a global leader in the iOT space for retail loss prevention, operations management, and analytics, with our headquarters based in South OC, California. They maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada
They are urgently seeking a Director of Strategic Analytics and analytical leader to drive the next phase of operational intelligence and subscription growth across our intelligent retail analytics platform.
The will lead the intersection of business intelligence, theft analytics, operational insights, and strategic customer engagement. This role will work closely with enterprise retail customers and internal leadership teams to transform video classifications, theft event data, and operational analytics into measurable business outcomes and long-term subscription value.
This is not a traditional back-office analytics role. The ideal candidate combines strong business intelligence and analytical expertise with executive presence, commercial awareness, and the ability to influence operational decisions through data-driven insights.
Responsibilities
Strategic Analytics & Business Intelligence
• Lead the company’s strategic analytics and business intelligence initiatives across customer, operational, and executive reporting environments.
• Develop scalable dashboards, KPI frameworks, reporting automation, and data models that support operational visibility and customer-facing analytics.
• Analyze large-scale video classification and theft event data to identify trends, operational gaps, risk patterns, and actionable business opportunities.
• Ensure data integrity, governance, consistency, security, and accessibility across multiple systems and platforms.
• Drive continuous improvement of analytics infrastructure, reporting capabilities, and data visualization tools.
• Partner with Engineering and Product teams to enhance analytics architecture and accelerate delivery of actionable customer insights.
• Leverage AI, machine learning, and predictive analytics capabilities to improve theft detection insights and operational intelligence.
Customer Engagement & Operational Insights
• Work directly with enterprise retail customers to translate analytics into operational recommendations and measurable business outcomes.
• Deliver executive-level business reviews, operational dashboards, KPI reporting, and strategic insights to customer leadership teams.
• Help customers improve shrink reduction initiatives, operational execution, and adoption of Gatekeeper analytics solutions.
• Support customer onboarding, go-live readiness, adoption planning, and long-term operational optimization initiatives.
• Build trusted relationships with Asset Protection, Retail Operations, and Executive Leadership teams within customer organizations.
Subscription Growth & Strategic Impact
• Support subscription growth initiatives by identifying opportunities for increased platform adoption, analytics utilization, and operational expansion.
• Partner with Sales, Customer Success, Product, and Executive Leadership teams to support strategic account growth and long-term customer retention.
• Identify operational challenges and business opportunities that can drive additional customer value and recurring revenue expansion.
• Influence product roadmap discussions through customer feedback, operational findings, and market insights.
Leadership & Cross-Functional Collaboration
• Collaborate across Operations, Product, Engineering, Sales, and Customer Success teams to align analytics initiatives with business objectives.
• Create scalable operational frameworks and repeatable analytics processes that improve customer outcomes and internal efficiencies.
• Mentor and influence teams across analytics and operational functions.
• Foster a data-driven culture focused on execution, accountability, and measurable business impact.
Must Have Skills & Experience
• 10+ years of experience in business intelligence, analytics, retail operations, SaaS, operational strategy, consulting, or enterprise customer-facing leadership roles.
• Proven experience translating complex analytics into operational and business recommendations.
• Experience working directly with enterprise customers and executive stakeholders.
• Strong understanding of operational analytics, retail intelligence, loss prevention technologies, or AI-driven analytics platforms preferred.
Technical & Analytical Expertise
• Strong experience with business intelligence platforms, dashboard development, data visualization, operational reporting, and analytics strategy.
• Experience building scalable analytics solutions that support both internal operations and customer-facing insights.
• Strong understanding of data architecture, KPI development, reporting strategy, and data governance principles.
• Ability to synthesize large and complex datasets into actionable operational insights.
• Experience leveraging AI, machine learning, and predictive analytics preferred.
Leadership & Communication
• Executive presence with exceptional communication and presentation skills.
• Strong business acumen with the ability to connect analytics to operational and financial outcomes.
• Ability to influence executive decision-makers through data-driven storytelling and strategic recommendations.
• Highly collaborative leader capable of working across technical and non-technical teams.
• Strong problem-solving mindset with a focus on execution and measurable results.
Success Metrics
• Increased customer adoption and utilization of analytics solutions
• Subscription retention and expansion support
• Customer operational improvement and ROI realization
• Improvement in analytics scalability and reporting effectiveness
• Executive stakeholder engagement and satisfaction
• Delivery of actionable operational insights that drive measurable customer value
The Offer
  • Attractive total compensation package between 180-200k
  • Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options
  • 401(k) Plan with employer match
  • Generous paid time off policy
  • Observance of 11 paid company holidays