ZipRecruiter

Log In

1

Claims Data Analyst Jobs in Oregon (NOW HIRING)

Socket.dev

BMPS Data Analyst

Grants Pass, OR · On-site

$70 - $95/hr

BMPS Data Analyst at AllCare Health with the Benefit Management & Pharmacy Services department in ... Experience working with healthcare data, including claims, medical, pharmacy, oral health ...

SiriusPoint

Director - MGA & Program Claims

OR · On-site +1

The ability to analyze claims data and use data to inform strategic decisions at both an individual claim and portfolio level. * Excellent written and verbal communication skills. * The ability to ...

Moda Health

Medical Claims Processor I

Milwaukie, OR · Hybrid

$17.34 - $19.41/hr

Enters claims data into system while interpreting coding and understanding medical terminology in relation to diagnosis and procedures. * Review, analyze, and resolve claims through the utilization ...

Careoregon

Payment Integrity Analyst

OR · On-site +1

This includes analyzing claims data to identify cost containment opportunities across many different claims areas to ensure proper claims payments, as well as conducting in-depth simple to complex ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

Lead the extraction, curation, and analysis of large-scale RWD sources, including Electronic Health Records (EHR), claims data, and patient registries. Design and execute robust RWE studies to ...

next page

Showing results 1-20

All JobsClaims Data Analyst JobsClaims Data Analyst Jobs in Oregon

Claims Data Analyst information

See Oregon salary details

$16

$27

$47

How much do claims data analyst jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for claims data analyst in Oregon is $27.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $28.70 per hour, depending on experience, location, and employer.

What does a claims data analyst do?

A Claims Data Analyst collects, analyzes, and interprets insurance claims data to identify trends, detect fraud, and improve operational efficiency. They work with large datasets, utilizing statistical tools and software to generate reports and insights that help insurance companies make data-driven decisions. Their role often involves collaborating with claims adjusters, underwriters, and other stakeholders to streamline processes and reduce costs. Strong analytical skills, attention to detail, and proficiency in data visualization tools are essential for success in this role.

What are the key skills and qualifications needed to thrive as a claims data analyst?

To thrive as a Claims Data Analyst, you need strong analytical abilities, attention to detail, and a background in data analysis or statistics, often supported by a relevant bachelor's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and claims management systems is highly valued, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving skills, effective communication, and the ability to collaborate across departments are important soft skills in this role. These attributes enable you to accurately analyze claims data, generate actionable insights, and support data-driven decision-making within insurance or healthcare organizations.

What are some common challenges a claims data analyst may face in their day-to-day work?

One common challenge for Claims Data Analysts is managing large volumes of complex data while ensuring accuracy and compliance with regulatory standards. Analysts must often work with incomplete or inconsistent data sets, requiring a keen eye for detail and strong problem-solving abilities to identify trends and discrepancies. Balancing multiple projects, meeting tight deadlines, and communicating technical insights to non-technical stakeholders are also typical aspects of the role. Those who excel in adapting to evolving data systems and collaborating effectively with claims adjusters, underwriters, and management teams often find the work both challenging and rewarding.

What are popular job titles related to Claims Data Analyst jobs in Oregon?

For Claims Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Claims Data Analyst jobs in Oregon look for?

The top searched job categories for Claims Data Analyst jobs in Oregon are:

Claims Data Analyst jobs near you
Infographic showing various Claims Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,288 per year, or $27.1 per hour.

Insurance Data Analyst

Portland, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BizTek People, Inc. | APA International Placement Consultantsexternal

Contractor

Re-posted 16 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.

Apply