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Internship Insurance Data Analytics Jobs in Oregon

Origami Risk LLC

(Senior) Corporate Data Analyst

$67K - $101K/yr

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

This role will leverage best practices in data modeling, visualization, and analytics to deliver ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

Everstream Analytics

OR

This internship provides a valuable opportunity to gain hands-on experience in the field of ... analyzing data and generating reports to identify opportunities and make data-driven marketing ...

Danaher

Digital Analyst Internships

Salem, OR · On-site

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Portland, OR · On-site

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Eugene, OR · On-site

$98K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Gresham, OR · On-site

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

$98K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

360training

Head of Analytics

Leverage data and information to fundamentally alter outcomes for the business * Help evaluate and ... Insurance- Basic, Voluntary, and AD amp;D • Healthcare- Medical, Dental, Vision, and MDLive • ...

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Internship Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

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.
What are the most commonly searched types of Insurance Data Analytics jobs in Oregon? The most popular types of Insurance Data Analytics jobs in Oregon are:
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What job categories do people searching Internship Insurance Data Analytics jobs in Oregon look for? The top searched job categories for Internship Insurance Data Analytics jobs in Oregon are:
Internship Insurance Data Analytics jobs near you
Infographic showing various Internship Insurance Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 5% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Insurance Data Analyst

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 28 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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