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Insurance Data Analyst Jobs (NOW HIRING)

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

About Us Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk. About the Role We are looking for a Financial & Data Analyst to join our ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Honeycomb Insurance At Honeycomb, we're not just building technology; we're reshaping the future of ... About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

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 ...

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 ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

Argo Group

Sr Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

Argo Group is a specialty property and casualty insurance brand that partners with agents and brokers to provide effective insurance solutions. The Sr Data Analyst will work closely with various ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

Rural Mutual Insurance

Data Analyst

Milwaukee, WI · On-site

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ...

World Insurance Associates LLC

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

Position Objective World Investment Advisors is seeking a data analyst with strong financial ... Perks & Benefits • 401(k) with Employer Match • Health Insurance (with HSA option) • Dental ...

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All JobsInsurance Data Analyst Jobs

Insurance Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do insurance data analyst jobs pay per year?

As of Jul 8, 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.
Data Analyst

Data Analyst

Honeycomb Insurance

Chicago, IL • On-site

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

About Us
Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.

About the Role
We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.

Location: Chicago or New York

Reporting to: Chief Financial Officer 

What You'll Do
Data Engineering & Pipeline Development

  • Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
  • Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
  • Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
  • Develop data models that make financial and operational data reliable, accessible, and well-structured.

Fronting Carrier & Regulatory Reporting

  • Own the data preparation for monthly reports to insurance partners. 
  • Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).

Billing System Data Preparation & Cleansing

  • Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets. 
  • Work closely with Engineering and Finance to align data with billing schemas and business rules.

Analytics Support for FP&A and Accounting

  • Create data assets enabling self-service dashboards and analytical tools.
  • Monitor the data and ensure strong data integrity.
  • Investigate data anomalies and help Finance understand operational drivers behind performance metrics. 

What You Bring
Required

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
  • Strong SQL and Python skills and experience working with relational databases.
  • Experience with a cloud data warehouse - BigQuery preferred
  • Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
  • Comfort working with messy data, performing cleansing, reconciliation, and QA.
  • Analytical mindset with strong attention to detail
  • Ability to communicate findings clearly to non-technical stakeholders. 

Nice to Have

  • Experience in insurance, fintech, or financial services.
  • Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions.
  • Familiarity with financial systems such as ERPs or billing systems.
  • Experience with BI tools like Looker, Power BI and Tableau.
  • Experience leveraging AI to generate SQL and Python scripts. 

Who You Are

  • You're a builder who enjoys creating structure in ambiguity.
  • You're the type who spots data issues before anyone else does - then digs until you find the root cause.
  • You love empowering non-technical teams with accurate, reliable data.
  • You thrive in cross-functional work between Finance, Accounting, and Engineering.
  • This role is open to candidates based in New York or Chicago, IL

Benefits

  • Salary: $120,000-$170,000
  • ISO stock options
  • Medical, dental, and vision coverage for you and your dependents
  • HSA with company contributions
  • 401(k) with employer match
  • Flexible time off 
  • 10 company-paid holidays
  • Paid family leave
 

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