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Claims Data Analyst Jobs in Oregon (NOW HIRING)

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

Reconciling claims data, project future costs, perform claims reserve calculations, price plan design changes, and support postretirement health valuations. * Performing data analysis using Excel ...

RN Hospital Claims Auditor

Portland, OR · On-site +1

$78K - $98K/yr

Position Summary Provides clinical and technical analysis for interpretation of appropriate ... data). * Monitor and communicate with contracted vendors that provide services to control claims ...

Data Scientist

OR · On-site +1

$135K - $160K/yr

Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to ... Independently query Snowflake and prepare data for exploratory data analysis and modeling * Create ...

Showing results 41-60

Claims Data Analyst information

See Oregon salary details

$16

$27

$47

How much do claims data analyst jobs pay per hour?

As of Sep 6, 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 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:

Infographic showing various Claims Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $56,288 per year, or $27.1 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Portland, OR • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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