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Insurance Data Analytics Jobs in California (NOW HIRING)

EPIC Brokers

Lead Insurance Data Scientist

San Ramon, CA · On-site

$150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

SpotOn

Director, Financial Data & Analytics

San Francisco, CA · On-site

$190 - $260/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director of Financial Data & Analytics will be a strategic leader driving the company's data ... Medical, Dental and Vision Insurance * 401k with company match * RSUs * Paid vacation, company ...

TEKsystems

Data & Analytics Resource

San Francisco, CA

$85 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

TEKsystems

Data & Analytics Resource

San Francisco, CA

$85 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Granite

AI Applications & Data Analytics Lead

Watsonville, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

General Summary The AI Applications & Data Analytics Lead is responsible for building and scaling ... insurance, disability insurance, flexible spending plans, as well as special programs for ...

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Showing results 1-20

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in California

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.

Guidewire Data Analyst

Excelon Solutions LLC

San Francisco, CA • On-site

Other

Re-posted 17 days ago

Job description

Job Title: Guidewire Data Analyst

Work Mode: Hybrid 3 days onsite

Locations : San Fransisco, CA

Job Overview

We are seeking a highly skilled Guidewire Data Analyst to join our team. The ideal candidate will have a strong background in Property & Casualty insurance, hands-on experience with Guidewire, and solid expertise in SQL, ETL processes, and reporting. This role requires both technical and business acumen to analyze data, provide insights, and support decision-making within the organization.

Key Responsibilities

  • Analyze and interpret complex insurance data from Guidewire systems.
  • Design, develop, and maintain SQL queries, ETL workflows, and data pipelines.
  • Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
  • Build dashboards, reports, and ad-hoc analyses to support business operations and compliance.
  • Ensure data accuracy, integrity, and consistency across multiple systems.
  • Partner with cross-functional teams to optimize data usage for business strategies.

Required Skills & Qualifications

  • 5+ years of experience as a Data Analyst in the Property & Casualty insurance domain.
  • Strong working knowledge of Guidewire (PolicyCenter, BillingCenter, or ClaimCenter).
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Hands-on experience with ETL tools and data integration processes.
  • Proven expertise in reporting and dashboard creation (Power BI, Tableau, or similar).
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in a hybrid model (3 days onsite in SF).

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