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Data Analysis Jobs in Oregon (NOW HIRING)

Uses data analysis techniques to extract information and identify patterns or trends. * Builds reports and reconcile to system data, on both a regular cadence and ad-hoc requests. * Develops and ...

Conduct research and analysis to evaluate enterprise data, business processes, system performance, and operational trends. * Collect, consolidate, validate, and analyze information from multiple ...

Job Summary Provides foundational data analysis, reporting, and documentation support for ORIS metrics, readiness tracking, and operational dashboards. Conducts requirements gathering and analysis ...

... analysis workflows or automations * You have a track record of quickly learning new concepts ... why data works * You have tackled complex analytical problems and taken ownership beyond your ...

... analysis workflows or automations * You have a track record of quickly learning new concepts ... why data works * You have tackled complex analytical problems and taken ownership beyond your ...

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 ...

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 ...

Senior Data Analyst

OR · On-site +1

$80/hr

A mindset that values being less wrong each time - you approach analysis with humility, rigor, and a desire to continuously improve. * Analytical skills to develop data-driven insights that help ...

Data Scientist

OR · On-site +1

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.Develop and implement data models to support ...

Showing results 21-40

Data Analysis information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data analysis jobs pay per year?

As of Aug 8, 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 jobs can a data analysis do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or operations analyst. These positions involve collecting, processing, and interpreting data to support decision-making, often using tools like Excel, SQL, and statistical software. Strong analytical skills and knowledge of data visualization are essential for these jobs.

What does a data analysis do?

A data analyst collects, processes, and interprets large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to present findings clearly and accurately. Strong analytical skills and attention to detail are essential for this role.

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 cities in Oregon are hiring for Data Analysis jobs? Cities in Oregon with the most Data Analysis job openings:
Infographic showing various Data Analysis job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

(Senior) Corporate Data Analyst

Origami Risk LLC

On-site, Remote

$67K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Overview

The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas of the business to support the creation of a new internal data warehouse. This person manages the process of pulling and analyzing key business data and presenting it to stakeholders in an easily digestible format.

Starting base pay for this role is between $67,800 and $101,700. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states). 

Responsibilities
  • Develops, manages, and optimizes BI solutions, including data models, dashboards, and reports.
  • Acts as owner of company wide data warehouse in regard to maintenance, availability of systems data, and coordination of data integration engineers when needed.
  • Works with stakeholders, including cross departments, to gather and document requirements for BI projects, enhancements, and reporting.
  • Utilizes data visualization, statistical analysis, and reporting skills to present data to stakeholders in a meaningful way.
  • Uses data analysis techniques to extract information and identify patterns or trends.
  • Builds reports and reconcile to system data, on both a regular cadence and ad-hoc requests.
  • Develops and maintains documentation of data sources, models, and processes.
  • Provides training and support to end-users on BI tools and reports.
  • Stays current with BI industry trends and best practices.
  • Applies basic development skills working with Python, SQL Queries, etc. to extract business insights around finance, business operations and more.
  • Analyzes data and uses problem-solving skills to present key insights and recommendations to various stakeholders.
  • Utilizes ticketing and project management software to set, meet, and communicate deadlines and progress on assigned projects.
Qualifications
  • Bachelor's Degree or equivalent experience in a Computer Science, Data Analysis or business-related field.
  • Corporate Data Analyst: 1+ years' experience working with and providing data analytics, reporting and dashboard building for company consumption.
  • Senior Corporate Data Analyst: 3+ years' experience working with and providing analytics and reporting to leadership including executive level.
  • Technical experience using data manipulation tools and development languages, including Python and SQL.
  • Superior communication skills.
  • Strong project ownership and attention to detail skills with the ability to be a self-starter.
  • Knowledge of and experience with data pipelines and ETL processes.
  • Prior experience working with data engineers and understanding of technical requirements.
  • Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics tools.
Benefits
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off - Flexible options plus 10 paid company holidays where available**
  • All full-time positions are hybrid, with many eligible to be completely remote
  • Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options-including adoption and foster care placements
  • Pre-Tax Savings Accounts - Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings - 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) - Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program - to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits - reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
**Flexible PTO not available in California or the UKWho We Are

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami's approach to developing, implementing, and supporting our award-winning software solutions. 

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.

Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

Employment Type: FULL_TIME