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Health Data Analytics Jobs in Portland, OR (NOW HIRING)

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

This role will focus on integrating and analyzing data from multiple systems to identify trends ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

This role will focus on integrating and analyzing data from multiple systems to identify trends ... Eligible for health benefits on the 1st day of the month after your start date * Medical, Dental ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

... analytics and reporting users. * Familiarity with programming or scripting languages such as Python, R, or Java is a plus. * Experience with healthcare data is strongly preferred. Primary Functions:

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Showing results 21-40

All JobsHealth Data Analytics JobsHealth Data Analytics Jobs in Portland, OR

Health Data Analytics information

See Portland, OR salary details

$26

$58

$100

How much do health data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for health data analytics in Portland, OR is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $65.77 per hour, depending on experience, location, and employer.

What is health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

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

To thrive as a Health Data Analyst, you need a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in health data analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

What are popular job titles related to Health Data Analytics jobs in Portland, OR? For Health Data Analytics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Health Data Analytics jobs in Portland, OR look for? The top searched job categories for Health Data Analytics jobs in Portland, OR are:
Health Data Analytics jobs near you
Infographic showing various Health Data Analytics job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $120,763 per year, or $58.1 per hour.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago

Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers

Job description

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.
At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.
Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.
We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.
And we believe in you.
ABOUT THE POSITION
Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear's Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.
The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.
HOW YOU'LL MAKE A DIFFERENCE
  • Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
  • Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
  • Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
  • Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
  • Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projects
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows
  • Translate analytical findings and statistical models into measures of business impact and actionable recommendations
  • Drive best practices in applying and deploying Data Science at scale

YOU ARE
  • Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
  • Solid time-management skills and able to work on multiple tasks or projects concurrently
  • Extremely organized, detail-oriented, resourceful and flexible
  • Strong interpersonal, written, communication and relationship-building skills
  • Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
  • A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.

YOU HAVE
  • Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
  • Minimum 3 years of experience as a Data Scientist, Statistician or related position
  • Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
  • Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
  • Broad understanding of core statistical and ML techniques
  • Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
  • Proficient in the use of visualization tools, Power BI preferred
  • Experience with Microsoft Stack preferred

#LI-JD1
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter.
At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available.
If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

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