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Commission Insurance Data Analytics Jobs (NOW HIRING)

Orion180

Senior Insurance Data Analyst

Irving, TX · On-site

$82K - $104K/yr

JOIN OUR TEAM AS A SENIOR INSURANCE DATA ANALYST ... We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the ...

Everest

AVP, Data & Analytics Product Owner

Warren, NJ · Hybrid

$201K - $225K/yr

Provide strategic product ownership for Insurance data and analytics, with endtoend accountability for product vision, roadmap, prioritization, delivery, adoption, and ongoing value realization.

Everest

AVP, Data & Analytics Product Owner

Warren, NJ · On-site

$201K - $225K/yr

Execute the Insurance data strategy in partnership with IT and Enterprise D&A teams, including delivery of global data domains and data products. * Serve as a trusted advisor to Insurance leadership ...

Peak6 Investments LLC

Data Analytics Lead

Experience in the insurance, financial services, or healthcare industry. * Preferred: Prior ... However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance ...

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 ...

Oscar Health

Associate, Provider Data Analytics

Oscar Health is a health insurance company focused on serving its members through a technology-driven approach. The Associate, Provider Data Analytics will review provider data-related issues and ...

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How much do commission insurance data analytics jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for commission insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Commission Insurance Data Analytics vs Insurance Underwriter?

AspectCommission Insurance Data AnalyticsInsurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; certifications in analytics toolsBachelor's in Finance, Business, or related; sometimes actuarial exams
Work EnvironmentData analysis teams, offices, or remote settingsUnderwriting departments, insurance offices
Employer & Industry UsageInsurance companies, brokers, analytics firmsInsurance companies, underwriting agencies
Common Search & ComparisonYesYes

Commission Insurance Data Analytics focuses on analyzing insurance data to optimize sales and commissions, while Insurance Underwriters assess risks to determine policy terms. Both roles are vital in the insurance industry but differ in their core functions and skill sets.

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What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
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Commission Insurance Data Analytics jobs near you
Infographic showing various Commission Insurance Data Analytics job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 34% Full Time, 28% Part Time, and 35% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Posted 21 days ago

Job description

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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