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Data Analysis Jobs in Oregon (NOW HIRING)

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 ...

$51.75 - $70/hr

Candidates should demonstrate expertise in data modeling, statistical analysis, performance measurement, dashboard development, and executive reporting. Strong analytical, communication, leadership ...

OR · On-site

Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development - and serves as a ...

$90K - $130K/yr

Success in this role comes from a combination of a skill in data analysis, exceptional attention to detail, commitment to cross-functional teamwork, outstanding client ethic, and a desire to ...

Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions. * Look at complex problems and come up with testable ...

... data analysis, reporting, and performance evaluation activities in support of large-scale federal transition assistance programs serving transitioning Service members, Veterans, and their families.

Commercial Data Analyst

OR · On-site +1

$95K - $120K/yr

As a Commercial Data Analyst, your goal is to unlock insights that drive the business-supporting strategic decision-making and performance management. This role is responsible for analyzing customer ...

New

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 ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Requisition ID2026-4501Job Summary Data Analyst, Specialty Care Programmatic Support Artemis seeks a Data Analyst to support the Department of Veterans Affairs (VA) Veterans Health Administration ...

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

The team drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital. As a Principal Data Analyst ...

Showing results 41-60

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.

Full-time

Retirement, PTO

Re-posted 28 days ago


Job description

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. 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 in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. 

About The Role:

YipitData's Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why-and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. 

As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients. 

This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood and help our clients understand our methodology and data limitations.

This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.

As a Data Product Analyst at our Retail team, you will:

  • Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
  • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables 
  • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
  • Independently investigate and resolve complex data quality issues
  • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
  • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team's workflows, and mentor peers accordingly

You Are Likely To Succeed If:

  • You have 4-6  years of experience in data analytics, data operations, or consulting
  • You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks
  • You have experience using sample or panel data to make precise estimates that guide decision-making
  • You have a proven track record of quickly learning new concepts, particularly complex data methodologies
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
  • You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
  • You enjoy mentoring peers and raising the quality bar through shared standards and best practices
  • Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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