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Insurance Data Analytics Jobs in California (NOW HIRING)

TEKsystems

Data & Analytics Resource

San Francisco, CA · On-site

$85 - $90/hr

Key Requirements: • 10+ years in Data & Analytics leadership • Strong Data Engineering ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Socket.dev

Senior Data & Analytics Engineer

San Diego, CA · On-site

$140 - $155/hr

This is an opportunity for an experienced data and analytics professional to build a modern ... Life Insurance * Flexible Spending Account, Dependent Care Spending Account * $140,000--$155,000 ...

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Insurance Data Analytics information

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are the most commonly searched types of Insurance Data Analytics jobs in California?

The most popular types of Insurance Data Analytics jobs in California are:

What are popular job titles related to Insurance Data Analytics jobs in California?

For Insurance Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in California look for?

The top searched job categories for Insurance Data Analytics jobs in California are:

What cities in California are hiring for Insurance Data Analytics jobs?

Cities in California with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Director of Institutional Data Analytics

University of South Carolina

Los Angeles, CA • On-site

$153K - $187K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Key responsibilities

  • Lead, mentor, and develop the Analytics and Data Governance team.

  • Direct the implementation and maintenance of enterprise reporting and analytics solutions for the university and its extended campuses.

  • Partner with university leadership, academic units, governance groups, and other stakeholders to identify needs and translate them into effective solutions.

Job description

Posting Summary
Logo Posting Number STA00630PO26 Job Family Operational Analysis Job Function Business Data Analysis USC Market Title Data Analysis Director Link to USC Market Title https://uscjobs.sc.edu/titles/196207 Job Level E0 - Directors and Executives Business Title (Internal Title) Director of Institutional Data Analytics Campus Columbia Work County Richland College/Division Division of Information Technology Department IT Enterprise Applications State Pay Range Unclassified USC Market Range MRN - $120,769 $153,981 $187,192 Anticipated Hiring Range $120,769 - Salary is commensurate with experience Location of Vacancy On-site in Columbia, SC Part/Full Time Full Time Hours per Week 37.5 Work Schedule
  • Standard working schedule: Monday - Friday 8:30am - 5:00pm, with 1 hour for lunch.
  • Must be willing to work a flexible schedule to meet the needs of the Division of IT.
Basis 12 months Job Search Category Information Technology
About USC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Veterans' Preference Statement
The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities.
Benefits for FTE Positions
The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.
Position Description
Advertised Job Summary
Shape the Future of Data Analytics at One of America's Most Beautiful Campuses
Join the University of South Carolina in Columbia, the vibrant capital city of one of the fastest-growing states in the nation. As we revolutionize our digital landscape, we are seeking an experienced leader to serve as our Director of Institutional Data Analytics. Help us transform South Carolina's flagship campus into a nationally recognized hub for innovation and data-driven excellence.
In this high-impact, on-site role, you will play a pivotal part in executing the university's enterprise-wide advanced analytics. Your work will directly influence the academic, research, and administrative success of a dynamic R1 institution.
About the Role

The Director of Institutional Data Analytics provides strategic leadership, management, and technical oversight for institutional reporting and analytics serving the University of South Carolina and its extended campuses. This role leads the Analytics and Data Governance team in the Division of IT, partnering with university leadership and governance groups to deliver reliable, actionable data and enterprise reporting solutions. The director also drives innovation in analytics, supports data governance and security, and promotes data quality, consistency, and integrity across reporting environments.
Key Responsibilities
  • Lead, mentor, and develop the Analytics and Data Governance team.
  • Direct the implementation and maintenance of enterprise reporting and analytics solutions for the university and its extended campuses.
  • Partner with university leadership, academic units, governance groups, and other stakeholders to identify needs and translate them into effective solutions.
  • Modernize the institution's analytics capabilities.

What We're Looking For

  • Strong leadership, problem-solving, and collaboration skills.
  • Demonstrated experience leading data analytics and institutional research programs or projects.
  • Strategic vision and operational excellence to IT service delivery.
  • Thrives in a collaborative culture where curiosity and innovation are valued.

Why Join Us?

  • Lead high-impact institutional analytics initiatives that support decision-making across the University of South Carolina and its extended campuses.
  • Build and develop a talented team while helping shape the university's analytics capabilities and data-informed culture.
  • Collaborate with leaders and stakeholders across a complex higher education environment on projects that have meaningful institutional impact.

Perks of the University of South Carolina
  • Join a major public research university with opportunities to work on complex, meaningful technology and data initiatives.
  • Collaborate with talented professionals across the university system.
  • Enjoy a professional environment that emphasizes innovation, continuous learning, collaboration, and technical excellence.
  • Work in a role that offers opportunities to contribute to the strategic and operational success of the university.

Job Related Minimum Required Education and Experience
  • Requires a bachelor's degree in a job related field and at least 8 years of job related experience, including some prior management experience.
Required Certification, Licensure/Other Credentials Preferred Qualifications
  • Master's degree in Data Analytics, Information Systems, Computer Science, Statistics, Higher Education Administration, Public Administration, Business Analytics, or a related field.
  • Relevant certifications, such as Certified Data Management Professional (CDMP), Certified Analytics Professional (CAP), Project Management Professional (PMP)
  • Seven (7) or more years of progressively responsible experience in institutional research, business intelligence, analytics, data management, or related fields.
  • Three (3) or more years of supervisory or managerial experience leading technical or analytical teams.
  • Experience supporting decision-making within higher education, preferably within a multi-campus university system.
  • Experience developing enterprise reporting solutions, dashboards, and data visualizations in enterprise tools (e.g., Cognos, Tableau, PowerBI).
  • Experience working with data warehouses, enterprise data systems (e.g., HR, Financial, Student Information, Learning Management), and large-scale institutional datasets.
  • Demonstrated success leading cross-functional projects and stakeholder engagement initiatives.
  • Experience with accreditation reporting, state and federal reporting requirements, and higher education performance metrics.

Knowledge/Skills/Abilities
  • Understanding of higher education data structures, business processes, and institutional research methodologies.
  • Skilled in planning, organizing, and directing projects.
  • Proven leadership in supervising individuals with varied skill sets and fostering effective teamwork.
  • Strong collaboration skills across distributed, cross-functional teams.
Job Duties
Job Duty
Team Leadership & Technical Oversight

  • Supervise, mentor, and evaluate staff on the Analytics and Data Governance team in the Division of Information Technology.
  • Working with the AVP for IT Enterprise AI, Data, and Research Computing and governance groups, establish departmental priorities, goals, and performance expectations.
  • Promote professional development and foster a culture of innovation, collaboration, continuous learning, and technical excellence.
  • Direct the design, development, implementation, and maintenance of enterprise reporting and analytical solutions in alignment with data governance standards.
  • Oversee technical architecture and reporting standards to ensure scalability, reliability, and consistency across the university and its extended campuses.
  • Manage project portfolios, allocate resources, and monitor progress toward strategic objectives.
Essential Function Yes Percentage of Time 30 Job Duty
Collaboration & Stakeholder Engagement

  • Working with the AVP for IT Enterprise AI, Data, and Research Computing and governance groups, identify reporting and analytical needs that serve stakeholders including university leadership, academic units, and extended campuses.
  • Serve as a trusted advisor on institutional data, metrics, and analytical practices.
  • Facilitate communication and collaboration among stakeholders to ensure alignment of reporting priorities and business requirements.
  • Oversee requirements gathering, solution design discussions, and stakeholder consultations.
  • Support institutional planning, assessment, accreditation, strategic initiatives, and decision-making through data-informed insights.
Essential Function Yes Percentage of Time 30 Job Duty
Service Innovation

  • Identify opportunities to automate reporting processes and improve operational efficiencies.
  • Promote adoption of modern analytical techniques and data visualization practices.
  • Develop and implement innovative dashboards, self-service analytics tools, and decision-support resources.
  • Lead continuous improvement efforts to enhance reporting services, analytics delivery, and user experience.
  • Monitor emerging trends, technologies, tools, and methodologies in higher education analytics and recommend enhancements to university capabilities.
Essential Function Yes Percentage of Time 20 Job Duty
Data Governance & Security

  • Collaborate with institutional stakeholders to support university-wide data governance initiatives.
  • Promote compliance with applicable federal, state, and university policies regarding data privacy, security, and access.
  • Maintain standards and recommend improvements for data stewardship, access management, and responsible data use.
  • Ensure reporting and analytical processes align with institutional security requirements and risk management practices.
  • Support audits, compliance reviews, and security assessments as needed
Essential Function Yes Percentage of Time 10 Job Duty
Data Quality & Integrity Oversight

  • Establish and maintain processes for monitoring data quality, consistency, and integrity across reporting environments.
  • Collaborate with data stewards and system owners to identify, investigate, and resolve data discrepancies.
  • Develop standards and documentation supporting data definitions, business rules, and reporting methodologies.
  • Promote continuous improvement of institutional data accuracy and reliability.
Essential Function Yes Percentage of Time 5 Job Duty
Other Duties

  • Perform other duties assigned by the AVP for IT Enterprise AI, Data, and Research Computing in order to support the strategic and operational needs of the division, university, and university system.
  • Participate in professional development activities and maintain awareness of emerging trends, regulations, and recommended practices.
  • Support university committees, working groups, special projects, system-wide initiatives, and executive requests as needed.
Essential Function Yes Percentage of Time 5
Position Attributes
Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing.
Safety Sensitive or Security Sensitive No Hazardous weather category Non-Essential
Posting Detail Information

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