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Director Operational Analytics Jobs in California

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC ... direct your inquiries to our HR Department (flbi@fujifilm.com). Employment Type: OTHER

FUJIFILM Biotechnologies

Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC ... direct your inquiries to our HR Department (flbi@fujifilm.com). Salary: . Date posted: 07/29/2026

WelbeHealth

Director, Analytics

Los Angeles, CA · On-site

$159K - $211K/yr

The Director, Analytics partners with business and clinical leaders to solve complex operational and clinical challenges through data analysis, modeling, and strategic insights. This role combines ...

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Director Operational Analytics information

See California salary details

$33.6K

$106.3K

$177.2K

How much do director operational analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director operational analytics in California is $106,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $133,700.00 per year, depending on experience, location, and employer.

How does a director of operational analytics typically collaborate with cross-functional teams to drive business improvements?

A Director of Operational Analytics frequently partners with departments such as finance, operations, IT, and business strategy to align analytical insights with organizational goals. This often involves leading data-driven projects, facilitating workshops, and translating complex analytics into actionable recommendations for non-technical stakeholders. Effective communication and relationship-building are essential, as the role serves as a bridge between technical analytics teams and business leaders to ensure that data initiatives have measurable, positive impacts on operational efficiency and strategic decision-making.

What are the key skills and qualifications needed to thrive as a director of operational analytics?

To thrive as a Director of Operational Analytics, you need advanced analytical expertise, a strong background in statistics or data science, and substantial experience in operations management, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms, as well as certifications like Six Sigma or PMP, are typically required. Leadership, strategic thinking, and excellent communication skills help drive cross-functional initiatives and translate complex data into actionable business insights. These skills are crucial for optimizing operational efficiency, guiding data-driven decision-making, and achieving organizational goals.

What is the difference between Director Operational Analytics vs Data Analytics Manager?

AspectDirector Operational AnalyticsData Analytics Manager
ResponsibilitiesOversees analytics strategies, leads teams, and aligns analytics with business goalsManages data analysis projects, supports decision-making, and supervises analysts
Required SkillsAdvanced analytics, leadership, strategic planningData analysis, technical skills, project management
Work EnvironmentSenior leadership, cross-department collaborationTeam management, project-focused
CertificationsAdvanced degrees, analytics certifications often preferredData analysis certifications, technical credentials

The main difference is that the Director Operational Analytics holds a strategic leadership role, overseeing analytics initiatives across the organization, while the Data Analytics Manager focuses on managing data projects and teams. Both roles require strong analytical skills, but the director position emphasizes strategic planning and leadership.

What does a director of operational analytics do?

A Director of Operational Analytics leads a team responsible for analyzing business operations data to drive efficiency, improve performance, and support strategic decision-making. They oversee the collection, interpretation, and reporting of operational metrics, and collaborate with other departments to identify trends and opportunities for process improvement. Their role often involves developing data-driven strategies, implementing analytics tools or platforms, and communicating insights to senior leadership. Ultimately, they play a crucial part in helping organizations optimize their operations and achieve business goals.
What are popular job titles related to Director Operational Analytics jobs in California? For Director Operational Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Operational Analytics jobs in California look for? The top searched job categories for Director Operational Analytics jobs in California are:
Director Operational Analytics jobs near you
Infographic showing various Director Operational 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 $106,270 per year, or $51.1 per hour.

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

Motion Recruitment

Lake Forest, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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

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