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Full Stack Data Analyst Jobs in Oregon (NOW HIRING)

Data Analyst

OR · On-site +1

You'll take full ownership of your products - ensuring accuracy, improving methodologies, and ... As a Data Analyst, you will: * Own data products end-to-end - driving product success by delivering ...

Data Analyst

OR · On-site +1

You'll take full ownership of your products - ensuring accuracy, improving methodologies, and ... As a Data Analyst, you will: * Own data products end-to-end - driving product success by delivering ...

Take a product through the entire lifecycle of analysis, design, coding, testing, implementation ... Full stack .Net developer skills * Ability to work remotely in the US in Central Time with an ...

Plan and support data migration and reporting initiatives. * Design, implement, and maintain Drupal ... * 10+ years of full-stack software development experience. * 5+ years of hands-on Drupal ...

... data that support Smarsh's diverse business needs. The team is entrusted with conceiving ... Strong analytical, design, and problem-solving skills. * Ability to gather and document business ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Tempus offers a full range of benefits, which may include incentive compensation, restricted stock ...

About the Role You will be part of a cost-focused team that leverages data to drive sustainable savings, optimize fleet performance, and support full-cycle asset management. As a Data Analyst, you ...

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ... Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for ...

Lead Data Analyst, Marketing

OR · On-site +1

$86K - $107K/yr

Architects complex models with full understanding of downstream impacts * Curiosity & Business ... analyses, and connect data work to decisions that actually moved the business. YOUR ROLE Launch ...

Showing results 21-40

Full Stack Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do full stack data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack data analyst 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 Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Oregon?

For Full Stack Data Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst jobs in Oregon look for?

The top searched job categories for Full Stack Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Full Stack Data Analyst jobs?

Cities in Oregon with the most Full Stack Data Analyst job openings:

Infographic showing various Full Stack Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Data Analyst

YipitData

OR • On-site, Remote

Full-time

Retirement, PTO

Re-posted 2 days ago


Job description

About Us

YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.

We oerate 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 Here

  • Ownership is real, not aspirational. An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work."
  • Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
  • AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

About the Role

You'll join one of our sector teams - covering industries like consumer goods, software, or financial services - where you'll own data products that help the world's top investors understand company performance, market trends, and competitive dynamics. Our sector teams are where the core analytical work happens: building and maintaining the data products that our clients depend on for high-stakes decisions.

As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise in our proprietary datasets and methodologies. You'll take full ownership of your products - ensuring accuracy, improving methodologies, and delivering insights that clients trust. Over time, you'll expand your scope: taking on more complex products, identifying opportunities to improve how your team works, and growing into a key contributor who shapes how we deliver value.

This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just execute on others'.

As a Data Analyst, you will:

  • Own data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
  • Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
  • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
  • Identify opportunities to improve products and processes - whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

You Are Likely To Succeed If:

  • You have 3-5+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment where you worked with complex data to inform real decisions
  • You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly for building reusable analysis workflows or automations
  • You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
  • You have tackled complex analytical problems and taken ownership beyond your immediate scope - you don't wait to be told what matters, you figure it out and drive it forward
  • You can communicate complex concepts clearly - including methodology, risks, and tradeoffs - both in writing and in conversation with technical and non-technical stakeholders
  • You actively use AI tools and are excited about using AI to drive leverage - not just productivity, but fundamentally better and faster ways of working

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 base compensation for this position is anticipated to be $130K-$180K. 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. 

The total compensation package includes a mix of base, bonus, equity, and benefits

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. 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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