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Data Analysis Jobs in Oregon (NOW HIRING)

Premier Staffing Solution

... in data analysis, preferably in logistics, fleet, or industrial operations - Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau ...

Premier Staffing Solution

OR

... in data analysis, preferably in logistics, fleet, or industrial operations - Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau ...

Aptive

$85K - $108K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

This role supports enterprise AI activities focused on research portfolio analysis, operational reporting, AI-enabled analytics, and development of scalable data capabilities supporting research ...

Weir Group

Data Analyst

Portland, OR

Business Engagement & Analysis: Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate ...

Weir

Data Analyst

Portland, OR

Business Engagement & Analysis: Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate ...

PacificSource

Healthcare Data Analyst II

Bend, OR · On-site

Develop trends analysis including gaps, opportunities, and data visualizations for internal and external use. * Prepare and present routine reports to internal decision-making audiences including but ...

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All JobsData Analysis JobsData Analysis Jobs in Oregon

Data Analysis information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data analysis jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analysis in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Oregon? The most popular types of Data Analysis jobs in Oregon are:
What are popular job titles related to Data Analysis jobs in Oregon? For Data Analysis jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Analysis jobs in Oregon look for? The top searched job categories for Data Analysis jobs in Oregon are:
What cities in Oregon are hiring for Data Analysis jobs? Cities in Oregon with the most Data Analysis job openings:
Data Analysis jobs near you
Data Analyst II - Health Plans

Data Analyst II - Health Plans

Samaritan Health Services

Corvallis, OR • On-site

$31.33 - $47/hr

Full-time

Posted 20 days ago

Samaritan Health Services rating

7.3

Company rating: 7.3 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

295th of 870 rated healthcare providers

Job description

  • Samaritan Health Plans (SHP) operates a portfolio of health plan products under several different legal structures: InterCommunity Health Plans, Inc. (IHN) is designated as a regional Coordinated Care Organization (CCO) for Medicaid beneficiaries; Samaritan Health Plans, Inc. offers Medicare Advantage and Commercial Large Group plans. As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services' mission of Building Healthier Communities Together.
    As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services' mission of Building Healthier Communities Together.
    This is a remote position in which we are able to employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin
  • JOB SUMMARY/PURPOSE
    • Collects, processes, and analyzes large datasets to identify trends, patterns, and insights to help SHP make informed decisions. Utilizes advanced statistical tools and techniques to analyze/interpret data, create reports, and provide data visualizations to support leadership in strategic planning. Facilitates the development and maintenance of data collection, leveraging existing data to identify gaps and recommends areas of focus for quality improvement activities.
  • EXPERIENCE/EDUCATION/QUALIFICATIONS
    • Bachelor's degree or equivalent experience in a related field required (e.g. healthcare administration, statistics, data analytics, public health, or a related field). Master's degree preferred.
    • Two (2) years data analysis experience required, preferably in a managed care setting.
    • Advanced experience and/or training in SQL and Microsoft Excel required.
    • Experience in data visualization software (e.g. Power BI, Tableau, etc.) required.
    • Experience with Arcadia or a similar healthcare data analytics platform preferred.
    • Experience with statistical modeling and analysis preferred.
    • Certification in healthcare data analysis or a related field preferred.
  • KNOWLEDGE/SKILLS/ABILITIES
    • Ability to generate/extract data from source systems and to understand and work with complex data sets.
    • Ability to write or work with SQL or other query languages.
    • Intermediate to advanced Excel and Database skills.
    • Excellent communication and analytical skills.
    • Ability to work independently and on multiple tasks simultaneously.
    • Knowledge of healthcare data standards.
  • PHYSICAL DEMANDS
    • Rarely
      (1 - 10% of the time)
      Occasionally
      (11 - 33% of the time)
      Frequently
      (34 - 66% of the time)
      Continually
      (67 - 100% of the time)
      CLIMB - STAIRS
      LIFT (Floor to Waist: 0"-36") 0 - 20 Lbs
      LIFT (Knee to chest: 24"-54") 0 - 20 Lbs
      LIFT (Waist to Eye: up to 54") 0 - 20 Lbs
      CARRY 1-handed, 0 - 20 pounds
      BEND FORWARD at waist
      KNEEL (on knees)
      STAND
      WALK - LEVEL SURFACE
      ROTATE TRUNK Standing
      REACH - Upward
      PUSH (0 - 20 pounds force)
      PULL (0 - 20 pounds force)
      SIT
      CARRY 2-handed, 0 - 20 pounds
      ROTATE TRUNK Sitting
      REACH - Forward
      MANUAL DEXTERITY Hands/wrists
      FINGER DEXTERITY
      PINCH Fingers
      GRASP Hand/Fist
      #LI-DNI

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