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Assistant Insurance Data Analytics Jobs (NOW HIRING)

Orion180

Senior Insurance Data Analyst

Irving, TX · On-site

$82.60K - $104.20K/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.

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

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles ... assist business stakeholders to build their dashboards •      Supply chain domain ...

Cna

Data Analytics Consultant

Chicago, IL · Hybrid

$54K - $103K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

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

As of May 29, 2026, the average hourly pay for assistant insurance data analytics in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What cities are hiring for Assistant Insurance Data Analytics jobs? Cities with the most Assistant 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 Assistant Insurance Data Analytics jobs? States with the most job openings for Assistant Insurance Data Analytics jobs include:
Assistant Insurance Data Analytics jobs near you

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Posted 14 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 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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