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Strategic Analytics Jobs in California (NOW HIRING)

The ideal candidate combines a strategic analytics mindset with strong technical expertise, capable of translating complex data into actionable insights that influence business outcomes. ESSENTIAL ...

The ideal candidate combines a strategic analytics mindset with strong technical expertise, capable of translating complex data into actionable insights that influence business outcomes. ESSENTIAL ...

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Strategic Analytics information

See California salary details

$45.4K

$104.2K

$184.1K

How much do strategic analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for strategic analytics in California is $104,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Strategic Analytics professional, and why are they important?

To thrive in Strategic Analytics, you need strong quantitative analysis, data interpretation, and business acumen, often supported by a degree in analytics, statistics, or a related field. Proficiency with tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving, communication, and stakeholder management skills help you translate complex data into actionable insights. These skills enable strategic decision-making and drive business growth through evidence-based recommendations.

How does a Strategic Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Strategic Analytics professionals often work closely with departments such as marketing, finance, operations, and product management to gather relevant data and provide actionable insights. They facilitate data-driven decision-making by translating complex analyses into clear recommendations tailored to each team’s goals. Regular meetings, presentations, and collaborative workshops are common, ensuring alignment between analytics initiatives and organizational strategy. Effective communication and a strong understanding of business objectives are essential for successful cross-functional collaboration.

What is the difference between Strategic Analytics vs Data Analyst?

AspectStrategic AnalyticsData Analyst
Required CredentialsBachelor's or master's in analytics, business, or related fields; often certifications in analytics toolsBachelor's degree in data science, statistics, or related fields; certifications in Excel, SQL, or data tools
Work EnvironmentStrategic planning sessions, cross-departmental collaboration, executive meetingsData collection, cleaning, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate strategy, consulting, and business developmentCommon in finance, marketing, healthcare, and tech industries

While Data Analysts focus on collecting and interpreting data to generate reports, Strategic Analytics professionals analyze data to inform high-level business strategies and decision-making. Both roles require strong analytical skills, but Strategic Analytics involves a broader scope, including forecasting and strategic planning.

What is strategic analytics?

Strategic analytics is the practice of using data analysis and advanced analytics techniques to inform and support an organization’s long-term decision-making and strategy. Professionals in strategic analytics analyze data trends, market dynamics, and operational metrics to help guide business growth, improve efficiency, and gain a competitive edge. This role typically requires a blend of analytical skills, business acumen, and the ability to communicate insights to leadership teams.
What are popular job titles related to Strategic Analytics jobs in California? For Strategic Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Strategic Analytics jobs in California look for? The top searched job categories for Strategic Analytics jobs in California are:
What cities in California are hiring for Strategic Analytics jobs? Cities in California with the most Strategic Analytics job openings:
Infographic showing various Strategic Analytics job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,198 per year, or $50.1 per hour.
Director of Strategic Analytics

Director of Strategic Analytics

GATEKEEPER SYSTEMS

Lake Forest, CA • On-site

$170K - $200K/yr

Full-time

Posted 27 days ago


Job description

Location: Foothill Ranch, CA (Hybrid)
Company: Gatekeeper Systems, Inc.
Reports To: VP, Global Operations & Service

Role Overview

Gatekeeper Systems is seeking a highly strategic and analytical leader to drive the next phase of operational intelligence and subscription growth across our intelligent retail analytics platform.

The Director of Strategic Analytics 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.

This individual will play a key role in helping customers maximize value from Gatekeeper’s solutions while supporting strategic subscription growth initiatives through analytics-driven customer engagement and operational intelligence.

Key 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.

Qualifications

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

Why Join Gatekeeper Systems

Gatekeeper Systems is transforming retail operations and loss prevention through intelligent technology and advanced analytics. This role provides the opportunity to directly influence customer outcomes, operational innovation, and strategic growth initiatives while partnering with industry-leading retailers and internal executive leadership.