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Commission Insurance Data Analytics Jobs (NOW HIRING)

Porch.com, Inc.

Insurance Data Analyst

Seattle, WA · On-site

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

BizTek People

Insurance Data Analyst

Portland, OR · On-site

Insurance Data Analyst 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 ...

Porch.com, Inc.

Insurance Data Analyst

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

Porch.com, Inc.

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

1 point system

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 ...

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.

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 ...

Oscar Health

Associate, Provider Data Analytics

Oscar Health is a health insurance company built around a full stack technology platform focused on serving its members. The Associate, Provider Data Analytics will review provider data-related ...

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 ...

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Commission Insurance Data Analytics information

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

As of Jun 26, 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.

How is data analytics used in the insurance industry?

In commission insurance data analytics, professionals analyze large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. They often use statistical tools and machine learning models to inform decision-making and optimize insurance products and pricing strategies.

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.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Analytics Vice President tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and often relevant certifications.

Is 40 too late for data science?

Commission insurance data analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and data visualization, along with gaining certifications, can help establish credibility regardless of age. Age should not be a barrier to entering data science or analytics roles if you develop the necessary expertise.

What does a data analyst do at an insurance company?

A data analyst at an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.
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Commission Insurance Data Analytics jobs near you

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Posted 12 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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