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Insurance Data Analytics Jobs in California (NOW HIRING)

Data Analyst I

San Ramon, CA · On-site

$65 - $68/hr

Gain exposure to real‑world analytics applications in consulting, operations, and project ... Flexible work environment, paid parental leave, medical, dental, vision, life and AD&D insurance ...

Leader 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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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 cities in California are hiring for Insurance Data Analytics jobs?

Cities in California with the most Insurance Data Analytics job openings:

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.

Strategic Data Analytics Consultant - Life Sciences

Beghou Consulting

San Diego, CA • On-site

$90 - $110/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Collaborate with project teams and stakeholders to design, develop, and deliver high-quality data analytics solutions for clients.

  • Analyze data, synthesize findings, and communicate actionable insights to internal and external teams.

  • Contribute to the development and optimization of data processes, including data warehouse build, data engineering, and project coordination.


Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to‑market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third‑party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

This role supports the conceptualization, execution, and integration of data‑driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.

Responsibilities
  • Work with cross‑functional project teams in the design and development of high‑quality deliverables for clients.
  • Collaborate with leadership to define project scope, approach, and development strategies.
  • Contribute to Beghou’s internal data warehouse build.
  • Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices.
  • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
  • Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight.
  • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
  • Coordinate with global and diverse teams to ensure seamless project execution.
  • Contribute to internal firm initiatives to drive organizational growth.
Qualifications
  • Bachelor’s or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry.
  • Experience with one or more additional UI‑based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred.
  • Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL.
  • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel.
  • Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred.
  • Experience with Claude Code or ChatGPT Codex is preferred.
  • Excellent analytical and quantitative skills, with a proven ability to solve complex problems.
  • Exceptional communication skills, both written and verbal.
  • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously.
  • Strong ability to collaborate, adapt quickly, and work effectively in a fast‑paced environment.
  • Familiarity with industry best practices in data analytics within the pharmaceutical sector.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000.

We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer‑sponsored work authorization.

BenefitsHealth & Wellness

We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work‑Life Balance

Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in‑person collaboration and remote flexibility.

Financial Wellness

We invest in your future with a 401(k) and employer match, tax‑free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back

Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values

Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact.

Equal Opportunity Employer

We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal‑opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

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