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Insurance Data Analytics Jobs in California (NOW HIRING)

Chapa-De

Leader of Data and Analytics

Auburn, CA

$118K - $140K/yr

Employer-paid Health Insurance (medical, dental and vision): 100% for employee and 80% for ... Lead the development of analytics and reporting solutions that translate data into actionable ...

Chapa-De

Leader of Data and Analytics

Auburn, CA

$118K - $140K/yr

Employer-paid Health Insurance (medical, dental and vision): 100% for employee and 80% for ... Lead the development of analytics and reporting solutions that translate data into actionable ...

Sutter Health

Insurance Specialist III

Sacramento, CA · Hybrid

$117K - $176K/yr

Advanced knowledge of of commercial property & casualty insurance, data analysis, developing data models and reporting. * Working knowledge of contract provisions as related to indemnification ...

Brookfield

Sr P&C Data Scientist

Los Angeles, CA · On-site

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... Key Responsibilities Pricing & Insurance Analytics * Develop, refine, and maintain analytical ...

Sutter Health

Insurance Specialist III

Sacramento, CA · On-site

$117K - $176K/yr

Advanced knowledge of of commercial property & casualty insurance, data analysis, developing data models and reporting. * Working knowledge of contract provisions as related to indemnification ...

Cisco

Data Analyst

San Jose, CA · On-site

$134K - $176K/yr

... end-to-end analytics and reporting solutions that enable data-driven decision-making. You'll ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

Payactiv, Inc.

Data and Analytics Engineer

Milpitas, CA

$130K - $165K/yr

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business ... Company-sponsored health, dental, and vision insurance. * Health, dental, and vision reimbursement ...

New

VSolvit

Data Analyst 1

Norco, CA

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

Sutter Health

Insurance Specialist III

Sacramento, CA · On-site

$117K - $176K/yr

Advanced knowledge of of commercial property & casualty insurance, data analysis, developing data models and reporting. * Working knowledge of contract provisions as related to indemnification ...

Chapa-De

Manager of Data and Analytics

Auburn, CA · On-site

$118K - $140K/yr

Employer-paid Health Insurance (medical, dental and vision): 100% for employee and 80% for ... Lead the development of analytics and reporting solutions that translate data into actionable ...

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Insurance Data Analytics information

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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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 100% Full Time. Highlights an 100% In-person job distribution.

Supervisor Data Analytics and Performance Management

Hyundai Glovis

Irvine, CA • On-site

$74K - $84K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Location: Irvine, California
Compensation: $64,000 - $84,000 annually
About GLOVIS America, Inc.
GLOVIS America, Inc. is a leading third-party logistics provider headquartered in Irvine, California. Since 2002, we have delivered innovative transportation and supply chain solutions throughout the United States, Canada, and Mexico. We proudly support the automotive, freight forwarding, parts distribution, used vehicle, and fuel industries through operational excellence, advanced technologies, and customized logistics strategies designed to meet our customers' evolving business needs.
Position Summary
The Supervisor - Performance Management serves as a key contributor to operational and financial performance initiatives across GLOVIS America. This role is responsible for analyzing company-wide performance metrics, developing business intelligence solutions, and providing data-driven insights that support strategic decision-making and continuous improvement efforts.
The ideal candidate is a highly analytical professional with experience in performance management, business intelligence, financial analysis, and data visualization. This position partners closely with leadership and cross-functional teams to identify trends, optimize business processes, improve operational efficiency, and support organizational growth through actionable analytics.
Qualifications & Skills
Required Qualifications
  • Bachelor's Degree
  • 5-8 years of direct experience in performance management, analytics, finance, operations, business intelligence, or related fields
  • 1-3 years of supervisory experience
  • Proficiency with Power BI, SQL, Python, R, or equivalent analytics and reporting tools
  • Advanced Microsoft Office skills, including Excel, PowerPoint, Word, and Outlook

Preferred Qualifications
  • Master's Degree
  • 6-9 years of experience in Applied Mathematics, Data Science, Computer Science, Consulting, or related analytical disciplines
  • Experience leading cross-functional initiatives and process improvement projects

Skills
  • Advanced analytical and problem-solving capabilities
  • Data visualization and dashboard development
  • Financial and operational performance analysis
  • SQL development and database management
  • Predictive analytics and statistical modeling
  • Strong communication and presentation skills
  • Project management and stakeholder coordination
  • Ability to manage multiple priorities in a fast-paced environment
  • Strong attention to detail and commitment to data accuracy

Key Responsibilities
Performance Analytics & Reporting
  • Conduct monthly performance reviews of company initiatives, Management by Objectives (MBOs), financial results, and operational Key Performance Indicators (KPIs).
  • Analyze trends, identify root causes, assess risks, and provide actionable recommendations to leadership.
  • Prepare executive-level reports and presentations that communicate operational and financial performance.
  • Support company-wide performance management initiatives through data-driven insights and analysis.

Business Intelligence & Data Management
  • Design, develop, and maintain interactive dashboards and reporting solutions using Power BI or similar platforms.
  • Build, optimize, and manage SQL queries and backend data processes to support reliable data management.
  • Integrate data from multiple systems, APIs, and enterprise platforms to support business intelligence initiatives.
  • Develop user-friendly reporting tools that improve accessibility and usability across the organization.

Advanced Analytics & Process Improvement
  • Conduct trend, variance, profitability, and root cause analyses to identify improvement opportunities.
  • Develop predictive models and forecasting tools to support business planning and risk identification.
  • Automate recurring reporting processes and workflows to improve efficiency and reduce manual effort.
  • Research industry benchmarks, operational trends, and emerging technologies to support continuous improvement efforts.

Cross-Functional Collaboration & Support
  • Partner with developers, analysts, operational teams, and business leaders to deliver data-driven solutions.
  • Translate complex analytical findings into clear recommendations for technical and non-technical audiences.
  • Support testing, validation, and deployment of dashboards, automation solutions, and analytical tools.
  • Develop training materials and provide guidance to increase adoption of reporting and analytics platforms.
  • Document KPI definitions, system architecture, data flows, and project requirements for internal stakeholders.
  • Participate in Agile planning sessions, testing cycles, retrospectives, and continuous improvement initiatives.
  • Perform other duties as assigned.

Benefits & Perks
  • Medical, Dental & Vision Insurance
  • Health Care & Dependent Care Flexible Spending Accounts (FSA)
  • Basic Life Insurance, AD&D, Short-Term & Long-Term Disability Coverage
  • Hospital & Critical Illness Insurance
  • 401(k) with Generous Company Match
  • Paid Vacation, Holidays & Sick Leave
  • Wellness Program & Gym Reimbursement*
  • Tuition Reimbursement*
  • Referral Bonus Opportunities*
  • Auto Allowance*
  • Discretionary Bonus Opportunities*
  • Quarterly Employee Lunches, Summer Refreshments & Team Building Activities*

Benefits may vary by location and company policy.
Physical Requirements
  • Ability to sit and work at a desk and computer for extended periods
  • Frequent use of hands for typing, writing, and computer-related tasks
  • Ability to lift and carry up to 20 lbs.
  • Occasional standing and walking throughout the workday
  • Up to 10% domestic travel may be required

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role.
Working & Environmental Conditions
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position.
  • Typical office environment with minimal noise exposure
  • Position is located in the Irvine, California office
  • Communication with employees and business partners is conducted primarily through phone, email, and virtual collaboration tools

Equal Employment Opportunity
GLOVIS America, Inc. is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. Employment decisions are made without regard to race, religion, creed, color, national origin, ancestry, age, disability, medical condition, genetic information, marital status, sex, gender identity, gender expression, sexual orientation, pregnancy, military or veteran status, political affiliation, citizenship status, or any other characteristic protected by applicable federal, state, or local law.
The statements contained herein describe the general nature and level of work performed by employees assigned to this position and are not intended to be an exhaustive list of all responsibilities, duties, or qualifications. GLOVIS America reserves the right to revise or amend job responsibilities and requirements at any time based on business needs.

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