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Insurance Data Analyst Jobs (NOW HIRING)

TecTammina

Data Analyst

Chattanooga, TN

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

Purple Drive

Technical Data Analyst

Warren, NJ · On-site

Interpret data related to Property & Casualty insurance , including claims and policy data ... Use Python for data analysis, automation, and data transformation * Write and optimize MySQL ...

Covetit

Reporting Data Analyst

Fargo, ND · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

Covetit

Reporting Data Analyst

Denver, CO · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

Covetit

Reporting Data Analyst

Mount Juliet, TN · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

Covetit

Reporting Data Analyst

Lubbock, TX · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

Covetit

Reporting Data Analyst

Dallas, TX · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

Covetit

Reporting Data Analyst

Purchase, NY · On-site

Act as a Data & Domain SME across P&C insurance subject areas including policy, claims, billing ... Analyze claims lifecycle data including reserves, payments, recoveries, and claim financials.

World Insurance Associates LLC

Data Migration Analyst

$75K - $85K/yr

Company Overview World Insurance Associates ("World") is a unique financial services organization ... Position Overview We are seeking a Data Migration Analyst to support the successful migration of ...

Easy Recruiter

Health Care Data Analyst - Remote

Demonstrated experience in healthcare claims data management and analysis, such as Medicaid, Medicare, or private insurance data * Strong proficiency in SAS * Experience working with ETL processes

Novella

Insurance Data Scientist

New York, NY · On-site

Hands-on experience with insurance loss data, loss development, exposure analysis, and rate adequacy. * Experience building models that have been deployed in production and used to make real ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

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Insurance Data Analyst information

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$34K

$82.6K

$136K

How much do insurance data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for insurance data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Insurance Data Analyst jobs
What cities are hiring for Insurance Data Analyst jobs? Cities with the most Insurance Data Analyst job openings:
What states have the most Insurance Data Analyst jobs? States with the most job openings for Insurance Data Analyst jobs include:
What job categories do people searching Insurance Data Analyst jobs look for? The top searched job categories for Insurance Data Analyst jobs are:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Guidewire Data Analyst

Guidewire Data Analyst

Excelon Solutions LLC

San Francisco, CA • On-site

Other

Posted 8 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).

Apply