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Volunteer Insurance Data Analytics Jobs (NOW HIRING)

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

Seattle, WA · On-site

$88K - $123K/yr

... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ... We also offer Voluntary Life and AD&D plans. * Both traditional and Roth 401(k) plans are available ...

Porch.com, Inc.

Insurance Data Analyst

$88K - $123K/yr

... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ... We also offer Voluntary Life and AD&D plans. * Both traditional and Roth 401(k) plans are available ...

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 ...

Georgia IT Inc

Insurance Data Analyst

Manhattan, NY · On-site

Data Analyst With Insurance Domain Location: NYC, NY Duration: Long Term Skills Required: * Detailed knowledge of commercial insurance underwriting process in both for property and liability lines

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 ...

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

Dallas, TX · Remote

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

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All JobsVolunteer Insurance Data Analytics Jobs

Volunteer Insurance Data Analytics information

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$24

$54

$94

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

As of Jul 3, 2026, the average hourly pay for volunteer 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 Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

More about Volunteer Insurance Data Analytics jobs
What cities are hiring for Volunteer Insurance Data Analytics jobs? Cities with the most Volunteer Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Volunteer Insurance Data Analytics jobs? States with the most job openings for Volunteer Insurance Data Analytics jobs include:
What job categories do people searching Volunteer Insurance Data Analytics jobs look for? The top searched job categories for Volunteer Insurance Data Analytics jobs are:
Volunteer Insurance Data Analytics jobs near you
Infographic showing various Volunteer Insurance Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, and 36% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Insurance Data Analyst

Insurance Data Analyst

BizTek People

Portland, OR • On-site

Other

Posted 11 days ago

Job description

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 for system configuration and ongoing reporting. This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills—including complex formulas, data cleansing techniques, pivot tables, and data validation tools—to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data 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 a fast-moving implementation environment are essential.

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