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Healthcare Data Analytics Jobs in Oregon (NOW HIRING)

Senior Business Intelligence Analyst

OR ยท Remote

$115K - $130K/yr

Partner with Analytics Engineering, Health Care Economics, Data Science on shared models, upstream data quality, and new tools and capabilities that improve consistency and efficiency across the ...

OR ยท On-site

$125K - $172K/yr

About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders ... Partner with data science and data analytics teams to build and operationalize the data foundations ...

Senior Data Analyst - Epic

Odell, OR ยท On-site

$88K - $111K/yr

Bachelor's or master's degree in Health Informatics, Information Systems, Computer Science, Healthcare Administration, Data Analytics, or equivalent experience required. * Epic Cogito Certification ...

Data Scientist

$96K - $134K/yr

Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data ...

Data/AI Scientist II

OR ยท On-site +1

$95K - $127K/yr

About Waymark Waymark is a team of healthcare providers, technologists, and builders whose mission ... Collaborate with engineering, product, and analytics teams to understand requirements and translate ...

They must be able to work with a variety of healthcare data sources, interpret results, and translate analytic outputs into clear, actionable insights that drive client value. To meet client needs ...

You will guide and scale a high-performing group of Data Scientists and Engineers focused on US ... the future of healthcare payment integrity. You will be responsible for moving past basic ...

OR ยท On-site

$51K - $64K/yr

... behavioral healthcare throughout Southern Oregon. A Strategic Role With Long-Term Impact Pay ... Translate business questions into meaningful analytics, dashboards, and performance measures.

New

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1,000 community health care sites, reaching nearly 6 million patients nationally. We believe that ...

Data Systems Analyst

$90K - $120K/yr

The ideal candidate will combine strong healthcare data knowledge, technical expertise, a ... analytics, reporting, and operational use cases Lead discovery sessions with customers to document ...

... healthcare payer integrations and enterprise data management initiatives. This role will oversee a team of data integration systems analysts responsible for understanding payer data requirements ...

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled ... data experts who are excited to create a tangible impact with the healthcare system. This is an ...

Bachelor's degree in healthcare administration, data analytics, business, or a related field. * Minimum of 5 years of experience in healthcare auditing, compliance, or a related field. * Excellent ...

New

Five (5) or more years of data science/analytics experience supporting a federal agency or large health care organization * Direct experience with VHA data sources and systems such as the Corporate ...

... analytics platform. Builds and validates Epic reports and interfaces for assigned data feeds ... Working experience with healthcare integration standards: HL7 v2 (ADT, SIU, REF), FHIR R4, and/or ...

New

Showing results 21-40

Healthcare Data Analytics information

See Oregon salary details

$25

$57

$99

How much do healthcare data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for healthcare data analytics in Oregon is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $65.58 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

How can I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, making it a promising career with increasing demand and job opportunities.
What are the most commonly searched types of Healthcare Data Analytics jobs in Oregon? The most popular types of Healthcare Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Healthcare Data Analytics jobs? Cities in Oregon with the most Healthcare Data Analytics job openings:
Infographic showing various Healthcare Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Senior Business Intelligence Analyst

Imagine Pediatrics

OR โ€ข Remote

$115K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

What You'll Doย 

Reporting to the Manager, Business Intelligence, the Senior Business Intelligence Analyst is responsible for working cross-functionally with stakeholders across the organization (e.g. clinical, operational, product, finance, and beyond) to drive analyses and insights that lead to more informed decisions and improved business performance. This role owns the full business intelligence lifecycle: understanding a stakeholder's workflow, defining the metrics thatย monitorย it, and delivering trusted, reusable analytical solutions from prototype through production. This role will be part of a fast-growing, fast-paced technology organization working to create bespoke solutions to support medically complex children on Medicaid, increasing safe days at home.ย 

You will:ย ย 

  • Design, build, andย maintainย Tableau dashboards that are user-friendly, performant, meet production standards, and enable data-driven decision making across the organizationย 
  • Designย dbtย models as reusable data products rather than one-off, dashboard-specific logic; check for and reuse existing models, metrics, and semantic definitions before building new ones, and own the consistency of what you introduceย 
  • Partner with stakeholders across organization to gather requirements, understand how their workflowย operates, and translate that understanding into the metrics and key performance indicators needed toย monitorย itย 
  • Navigate ambiguous project requirements with limited information, recommendย solutionsย and adapt to evolving business priorities and project typesย 
  • Own the full business intelligence lifecycle end-to-end: prototyping andย validatingย an approach with stakeholders, building the underlying data model and dashboard, QA testing for accuracy and edge cases, and user testing to confirm theย solution meetsย stakeholders'ย expectations beforeย it shipsย 
  • Proactively flag metric or logic inconsistencies youย encounterย across domains, even ones outside your immediate project, rather than working around themย 
  • Use SQL and other tools to collect, process, and analyze large datasets from claims, EHR, HIE, and other programmatic and operational sourcesย 
  • Support self-service analytics by building dashboards and semantic layer components that stakeholders can confidently explore and extend on their own, reducing one-off reporting requestsย 
  • Complete analytic ticket requests and ad-hoc reporting needs, communicating with stakeholders on status and relaying prioritiesย 
  • Partner with Analytics Engineering, Health Care Economics, Data Science on shared models, upstream data quality, and new tools and capabilities that improve consistency and efficiency across the analytics stackย 
  • Perform other duties as assignedย 

What You Bring & How You Qualifyย 
First and foremost, you're passionate and committed to reimagining pediatric health care and creating a world where every child with complex medical conditions gets the care and support they deserve. You will need:

  • 5+ years of experience in data analytics (3+healthcare data analytics)ย 
  • 3+ years of experience with Tableauย demonstratingย advanced use of calculations, parameters, performanceย tuningย and interactivityย 
  • Strong SQL skills and the ability to build analytic tools quickly to generate actionable insights from large-scale data in Snowflake or similar cloud data warehousesย 
  • Preferred experience usingย dbtย for data modeling with an engineering-minded approach: building reusable models, standardizing metric definitions, and reducing duplicated logic rather than treating each dashboard as an isolated deliverableย ย 
  • Systems thinking; you naturally consider how a dashboard, metric, or model fits into the broader analytics ecosystem, and design for downstream dependencies and future reuse rather than solving only the request in front of youย 
  • Demonstrated use of modern engineering practices including version control, CI/CD, testing, and code reviewsย 
  • Comfort owning a project end-to-end, from gathering requirements directly from stakeholders, prototyping and stakeholder validation through build, QA testing, and user testingย 
  • Proven ability to communicate findings effectively through data storytelling that connects insights with business goals and impactย 
  • Familiarity with semantic layer concepts, self-service analytics enablement, or AI-assisted analytics tooling is a strong plusย 
  • Familiarity with healthcare data sources (e.g., claims, EHR, health information exchange) is a strong plusย 

What We Offer (Benefits + Perks)ย 
The role offers a base salary range of $115,000 - $130,000 in addition to an annual bonus incentive, competitive company benefits package, and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary.ย 
We provide these additional benefits and perks:

  • Competitive medical, dental, and vision insuranceย 
  • Healthcare and Dependent Care FSA; Company-funded HSA
  • 401(k) with 4% match, vested 100% from day one
  • Employer-paid short and long-term disabilityย 
  • Life insurance at 1x annual salaryย 
  • 20 days PTO + 10 Company Holidays & 2 Floating Holidaysย 
  • Paid new parent leave
  • Additional benefits to be detailed in offerย