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Insurance Data Analytics Jobs in California (NOW HIRING)

Beghou Consulting

Consultant, Data Analytics

Emeryville, CA · On-site

$90 - $110/hr

From developing go-to‑market strategies and building foundational data analytics infrastructures ... BenefitsHealth & Wellness We provide comprehensive medical, dental, and vision insurance, as well ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Equity grant * Medical, dental & vision insurance * Unlimited PTO * Work from home flexibility

Beghou Consulting

Consultant, Data Analytics

San Diego, CA · On-site

$90 - $110/hr

From developing go-to‑market strategies and building foundational data analytics infrastructures ... BenefitsHealth & Wellness We provide comprehensive medical, dental, and vision insurance, as well ...

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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.

Insurance Data Management Specialist

VIVA USA INC

Livermore, CA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary
The Insurance Data Management Specialist is responsible for the setup, maintenance, auditing, and optimization of payor-related system configurations across revenue cycle platforms.
This role ensures accurate implementation of payor contracts, reimbursement methodologies, billing rules, fee schedules, and claims processing requirements to support compliant and efficient revenue cycle operations.
Key Responsibilities
Configure and maintain payor plans, reimbursement methodologies, fee schedules, contractual allowances, and billing rules.
Implement new payor contracts and update existing configurations based on contract amendments and reimbursement changes.
Support Billing, VOB, Prior Authorization, and Collections teams with insurance research and payer-related inquiries.
Investigate claim status issues and assist in identifying payer-related root causes affecting reimbursement.
Ensure configurations comply with contractual obligations, payer policies, and regulatory requirements.
Develop and maintain payer reference materials, workflows, and process documentation.
Required
High school diploma or equivalent.
Strong understanding of healthcare reimbursement and payor contract interpretation.
Experience researching payer policies and insurance requirements.
Strong analytical, organizational, and problem-solving skills.
Excellent communication and collaboration skills.
Top Skills/Experience
Working knowledge of commercial, Medicare, Medicaid, and managed care insurance plans.
Strong analytical, organizational, and problem-solving skills
Minimum 2 years of experience in healthcare insurance, revenue cycle management, eligibility verification, billing, or insurance data management.
Notes:
100% onsite
Work Hours: Monday-Friday, 6am-2:30pm PST
Must be able to commit to working these hours
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

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