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Insurance Data Analyst Jobs in California (NOW HIRING)

VIMO INC.

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges ... We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data ...

VIMO INC.

Data Analyst

Mountain View, CA

Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges ... We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data ...

Collabera

Data Analyst

Santa Ana, CA

... Insurance. Responsible for data analysis related to AMO post-market product complaints and ... reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and ...

Behr Process Corporation

Data Analyst

Santa Ana, CA · On-site

$79.10K - $124.08K/yr

To thrive as a Data Analyst, you'll use a strong analytical approach. You will turn complex data ... Competitive health insurance plans for individuals and families. * Check out behr.com/careers to ...

Cayuse Holdings

Data Analyst

Sacramento, CA · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Basic Life and AD&D Insurance (Company Provided) * Voluntary Life and AD&D options * 401(k) ...

BEHR

Data Analyst

Santa Ana, CA · On-site

$79.10K - $124.08K/yr

Data Analyst To thrive as a Data Analyst, you'll use a strong analytical approach. You will turn ... Competitive health insurance plans for individuals and families. * Check out behr.com/careers to ...

JLM Strategic Talent Partners

Data Analyst

Anaheim, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

TrueMed Inc

Data Analyst

Los Angeles, CA · On-site

$150/hr

Data Analyst at Truemed As a Data Analyst at Truemed, you will sit at the intersection of data and ... Comprehensive medical, dental, and vision insurance with employer sponsored HSA contributions ...

Behr Process Corporation

Data Analyst

Santa Ana, CA

$79.10K - $124.08K/yr

To thrive as a Data Analyst, you'll use a strong analytical approach. You will turn complex data ... Competitive health insurance plans for individuals and families. * Check out behr.com/careers to ...

JLM Strategic Talent Partners

Data Analyst

Lakewood, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

Hawthorne, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

Montrose, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

Masco Corporation

Data Analyst

Santa Ana, CA · On-site

$79.10K - $124.08K/yr

To thrive as a Data Analyst, you'll use a strong analytical approach. You will turn complex data ... Competitive health insurance plans for individuals and families. * Check out behr.com/careers to ...

JLM Strategic Talent Partners

Data Analyst

Burbank, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

Los Angeles, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

Irvine, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

Downey, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

JLM Strategic Talent Partners

Data Analyst

El Segundo, CA · On-site +1

$30 - $42/hr

Competitive benefits packages including- Health, Dental, Vision & Life insurance * Our very own JLM ... Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ...

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All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in California

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 May 28, 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.

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 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.

What are popular job titles related to Insurance Data Analyst jobs in California? For Insurance Data Analyst jobs in California, the most frequently searched job titles are:
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:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in California as of May 2026, with employment types broken down into 2% As Needed, 92% Full Time, 2% Part Time, and 4% Contract. Highlights an 35% Physical, 12% Hybrid, and 53% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst

VIMO INC.

Mountain View, CA • On-site, Remote

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

About VIMO:
Vimo® started as the "Expedia" of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it.
We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem - with a particular focus on call center operations. You will serve as the connective tissue between source systems, data pipelines, and BI platforms, ensuring that reports are accurate, timely, and meaningful to the teams that rely on them. This role is equal parts investigator, data steward, and reporting partner.
Responsibilities:
  • Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9, Genesys, Avaya) through ETL/ELT pipelines into the data warehouse and BI layer
  • Triage and resolve data discrepancies, reporting anomalies, and integration issues across systems - owning the problem through to root cause and fix
  • Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems
  • Build and maintain documentation for data dictionaries, field mappings, and transformation logic
  • Partner with engineering and platform teams to surface pipeline failures, schema changes, or upstream data quality issues before they reach end-users
  • Develop and sustain dashboards and reports in BI tools (e.g., Sisense, Tableau, Power BI) that consolidate cross-system metrics into operational views
  • Conduct ad hoc analysis to support operations, finance, and workforce planning teams
  • Define and monitor data quality checks and alerting for key reporting metrics
  • Communicate data nuances and known limitations to business stakeholders clearly and proactively

Compensation and Benefits:
  • Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.
  • We offer a comprehensive benefits package, including but not limited to: Health, Dental, Life, Disability, and Vision insurance
  • Healthcare spending or reimbursement accounts (HSA/FSA)
  • Retirement benefits (401k)
  • Paid time off
  • Holidays: 13 paid days per year
  • Education assistance or tuition reimbursement-
  • Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues:
  • We believe that working hard, when it is imbued with purpose, can and should be fun.
  • You'll find we are a "can do" place where people work together and roll up their sleeves to get the job done.
  • Everyone has a voice; everyone's ideas count, and everyone is respected.
  • We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection:
  • This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
  • Compliance with access control, data classification, and applicable legal and regulatory requirements is required.

Basic Qualifications:
  • 5+ years of experience Data Analysis or related fields
  • Proficient SQL - complex joins, CTEs, window functions, query optimization
  • Hands-on experience with BI platforms (Tableau, Power BI, Looker, or similar)
  • Familiarity with ETL/ELT tools or data pipelines (dbt, Fivetran, Airflow, or similar)
  • Experience working with call center or contact center data
  • Strong analytical thinking and attention to data detail
  • Ability to communicate technical findings to non-technical stakeholders

Preferred Qualifications:
  • Python or R for data wrangling and automation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of call center KPIs: AHT, FCR, ASA, CSAT, NPS
  • Familiarity with data governance or cataloguing tools
  • Experience with CRM data and WFM systems
  • Background in operations analytics or workforce management

What Success Looks Like:
  • Reporting issues are identified and resolved before stakeholders notice them
  • Call center and cross-system data is reliably consolidated and consistently defined
  • Dashboards reflect a single source of truth that operations and leadership trust
  • Data flow documentation is thorough enough for anyone on the team to follow

Apply