1

Insurance Data Analyst Jobs (NOW HIRING)

... 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 ...

Brief Description Arsenault provides industry-leading solutions for insurance brokers, and is hiring a Data Analyst to manage the data conversion process of Property and Casualty policy data for use ...

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 ...

Data Analyst, Insurance

Manhattan, NY ยท Hybrid

$115K - $145K/yr

Data Analyst TheGuarantors is a cutting edge fintech company setting the standard in rent coverage with unrivaled insurance products. With a deep understanding of owner, operator, and renter needs ...

Data Analyst, Insurance

New York, NY ยท On-site

$115K - $145K/yr

... data analyst or business intelligence role within a Fintech or Insurance company * Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker. * Experienced with SQL

Data Analyst

Manhattan, NY ยท On-site

$120K - $170K/yr

With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage. If you're looking for a place where innovation is ...

Data Analyst

Austin, TX ยท On-site

The Data Analyst will play a key role in supporting Hippo's Business Enablement & Insights function by driving analytics across both growth and core insurance domains, including sales, marketing ...

next page

Showing results 1-20

Insurance Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do insurance data analyst jobs pay per year?

As of May 28, 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 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 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.

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:
Infographic showing various Insurance Data Analyst job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 92% Full Time, 2% Part Time, and 4% Contract. Highlights an 33% Physical, 14% Hybrid, and 53% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Reporting Data Analyst with P&C Insurance

Reporting Data Analyst with P&C Insurance

Cerebra Consulting

Purchase, NY โ€ข On-site

$60/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Reporting Data Analyst With P&C Insurance

Locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Garden City, NY; Houston, TX; Morristown, NJ; Mt. Juliet, TN; New York, NY; Purchase, NY โ€“ Hybrid 03 days per week onsite from day 1

Duration: Long Term

Visa: Any

Experience: 08+ Years

Pay rate: $60/Hr on C2C inclusive all

Responsibilities:

  • Act as a data and domain analyst for P&C insurance subject areas (e.g., policy, claims, financials).
  • Collaborate with business stakeholders to gather, clarify, and validate reporting and extract requirements.
  • Translate insurance business concepts into accurate data logic, metrics, and dimensional definitions.
  • Leverage knowledge of source applications (e.g., Guidewire, Genius, SAP) to ensure correct data interpretation and lineage.
  • Ensure reports and extracts align with approved business definitions, regulatory needs, and data governance standards.
  • Create and validate SQL queries, views, or semantic-layer objects against the enterprise data warehouse.
  • Review and certify reports for accuracy, reconciliation, and consistency across systems.
  • Document data definitions, business rules, and reporting assumptions.
  • Support UAT and investigate data discrepancies between source systems and the data warehouse.
  • Educate business users on proper interpretation and usage of insurance data.

Technical Skills:

  • 8+ years as a hands-on IT reporting data analyst.
  • 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
  • 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
  • Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
  • Strong SQL skills and experience querying enterprise data warehouses.
  • Understanding of dimensional modelling and enterprise reporting concepts.