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Insurance Data Analyst Jobs (NOW HIRING)

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Insurance Data Analyst

New York, NY · Remote

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Risk Strategies

Senior Insurance Data Analyst

$84K - $115K/yr

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics, transforming complex data into actionable insights that drive performance across underwriting, claims ...

Risk Strategies

Senior Insurance Data Analyst

$84K - $115K/yr

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics, transforming complex data into actionable insights that drive performance across underwriting, claims ...

Accord Technologies Inc.

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.

Hiring Dreams LLC

Senior Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Role - Senior Data Analyst Location - Charlotte, NC SUMMARY Demonstrated strong domain expertise in Property & Casualty (P&C) Insurance, with hands-on experience in interpreting ACORD policy formats ...

TecTammina

Data Analyst

Chattanooga, TN · On-site

... 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 ...

Brookfield

P&C Data Analyst

Albany, NY · On-site

This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations. The P&C Data Analyst works ...

Brookfield

P&C Data Analyst

New York, NY · On-site

This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations. The P&C Data Analyst works ...

Brookfield

P&C Data Analyst

Omaha, NE · On-site

This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations. The P&C Data Analyst works ...

Brookfield

P&C Data Analyst

Chicago, IL · On-site

This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations. The P&C Data Analyst works ...

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 ...

Hippo Insurance

Data Analyst

Austin, TX · On-site

Partner with stakeholders across GTM and insurance functions to inform data-driven strategies and operational decisions. * Support retention and lifecycle analytics, including churn drivers, LTV ...

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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 Aug 18, 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.

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 are the key skills and qualifications needed to thrive as an insurance data analyst?

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 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.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.
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What states have the most Insurance Data Analyst jobs?

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Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 64% In-person, 7% Hybrid, and 29% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 5 days ago

Job description


Title: Insurance Data Analyst
Duration: 2 Months
Location: Portland, OR
Job Description
The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting.
Requirements
Responsibilities
  • This role involvesconsolidating information from claims, policies, exposures, and historicalloss records; performing data quality checks; identifying inconsistenciesor gaps; and preparing structured datasets aligned with Riskonnect's datamapping and upload requirements.
  • The contractor will leverageadvanced Excel skills-including complex formulas, data cleansingtechniques, pivot tables, and data validation tools-to efficientlytransform and audit large datasets prior to migration.
  • They will collaborate closelywith internal stakeholders and the implementation team to ensure accuratedata migration, support user acceptance testing with analytical insights,and document data processes to enable smooth adoption of the new platform.
  • Clear communication,meticulous attention to detail, and the ability to work independently in afast-moving implementation environment are essential.

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