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Insurance Data Analyst Jobs in California (NOW HIRING)

Data Analyst

Santa Clara, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Sonoma, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Fremont, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

San Mateo, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

San Francisco, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Hayward, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Sunnyvale, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Santa Rosa, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

San Jose, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Alameda, CA ยท On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Data Analyst

Alhambra, CA ยท On-site

$35 - $40/hr

Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23 ... insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an ...

Data Analyst

Alhambra, CA ยท On-site

$35 - $40/hr

Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23 ... insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an ...

Data Analyst

San Francisco, CA ยท On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

Data Analyst

San Francisco, CA ยท On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning ...

Data Analyst

San Francisco, CA ยท On-site

$104K - $184K/yr

The Role As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data ... Disability insurance - short and long-term. * 401k up to 4% contribution. * Air Conference - an ...

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Showing results 1-20

Insurance Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do insurance data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for insurance data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What does a data analyst do in insurance?

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

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
What job categories do people searching Insurance Data Analyst jobs in California look for? The top searched job categories for Insurance Data Analyst jobs in California are:
What cities in California are hiring for Insurance Data Analyst jobs? Cities in California with the most Insurance Data Analyst job openings:
Infographic showing various Insurance Data Analyst job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

AARATECH

Santa Clara, CA โ€ข On-site

$65K - $70K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title: Data Analyst โ€“ Insurance

Company: Aaratech Inc.

Experience: 2โ€“3 years

Compensation: $65,000 โ€“ $70,000 per year

Work Authorization

At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.

Job Summary

Aaratech Inc. is seeking a Data Analyst โ€“ Insurance to support business operations through data-driven insights. In this role, you will analyze insurance data, identify trends, and develop reports that support underwriting, claims, risk management, and business decision-making.

Key Responsibilities

  • Collect, clean, and analyze insurance-related datasets from multiple sources.
  • Develop dashboards and reports to monitor claims, policies, and business performance.
  • Identify trends and provide insights to improve operational efficiency and risk management.
  • Collaborate with business, finance, underwriting, and IT teams to support data-driven decisions.
  • Ensure data accuracy, consistency, and reporting quality.
  • Present analytical findings and recommendations to stakeholders.

Qualifications

  • Bachelor's degree in Data Science, Information Technology, Computer Science, Business Analytics, or a related field.
  • 2โ€“3 years of experience as a Data Analyst, preferably in the insurance or financial services industry.
  • Strong experience with SQL, Microsoft Excel, and data visualization tools.
  • Experience working with insurance, claims, or policy-related data is preferred.
  • Strong analytical, communication, and problem-solving skills.

Preferred Skills

  • Experience with Power BI, Tableau, or similar Business Intelligence tools.
  • Knowledge of insurance analytics, claims reporting, and risk analysis.
  • Basic knowledge of Python or R for data analysis.
  • Experience working with SQL databases and reporting tools.
  • Any certifications such as Microsoft Power BI Data Analyst Associate, Tableau Desktop Specialist, or Google Data Analytics Professional Certificate are a plus.

About Aaratech Inc.

Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations leverage data to improve business performance, optimize operations, and support informed decision-making.