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Internship Insurance Data Analytics Jobs (NOW HIRING)

Porch.com, Inc.

Insurance Data Analyst

Seattle, WA

$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 ...

OmniSource

Data Analytics Internship

Dayton, TX · On-site

What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help ...

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 ...

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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Internship Insurance Data Analytics information

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

As of Jun 17, 2026, the average hourly pay for internship insurance data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Insurance Data Analytics Intern, and why are they important?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an Insurance Data Analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an Internship in Insurance Data Analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.
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Internship Insurance Data Analytics jobs near you
Infographic showing various Internship Insurance Data Analytics job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Posted 4 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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