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Life Insurance Data Analyst Jobs (NOW HIRING)

Sr. Data Analyst

Piscataway, NJ ยท On-site

$87K - $110K/yr

Strong understanding of Property & Casualty and/or Life Insurance data. * Experience working with ... Data Analysis * Source-to-Target Mapping (STTM) * Business Requirements Documentation * Data ...

... 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 ...

As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This ... Understands the life insurance regulatory environment, data privacy principles, and compliance ...

Data Analyst III

Livonia, MI ยท On-site

$100 - $125/hr

Overview Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a ...

Data Analyst

Austin, TX ยท On-site

Data Analyst Location : Austin, TX (Hybrid, 2 days a week, Tue & Wed) Reporting to : Sr. Manager ... We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance ...

$80 - $100/hr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this ... We offer a comprehensive benefits package, including health, dental, life insurance, flexible PTO ...

New

Understanding of Group Insurance data domains * Basic understanding of data concepts (databases ... Detail-oriented with good analytical thinking. * Good communicator - able to ask the right ...

Data Analyst

Minneapolis, MN ยท On-site

$80 - $100/hr

We're looking for an analytical, detail-oriented Data Analyst to join our growing team. In this ... We offer a comprehensive benefits package, including health, dental, life insurance, flexible PTO ...

For over 50 years, HCC Life Insurance Company, operating as Tokio Marine HCC - A&H Group, has been ... The Data Analyst supports business and technology teams by translating data needs into scalable ...

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Life Insurance Data Analyst information

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$34K

$82.6K

$136K

How much do life insurance data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for life 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 cities are hiring for Life Insurance Data Analyst jobs?

Cities with the most Life Insurance Data Analyst job openings:

What are popular job titles related to Life Insurance Data Analyst jobs?

For Life Insurance Data Analyst jobs, the most frequently searched job titles are:

Insurance Data Analyst

Portland, OR โ€ข On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 27 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.