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Senior Data Analyst Jobs in Oregon (NOW HIRING)

OR

$85K - $108K/yr

As a Senior Data Analyst, you will: * Own high-impact data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.

OR

$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data & Analytics team - the GTM brain trust responsible for planning the year, reading the signal, and calling the ...

Sr Data Analyst

OR · Remote

$82K - $154K/yr

IMPACT YOU'LL MAKE As a Sr. Data Analyst focused on Debit Analytics,you'llplay a pivotal role in transforming how BECU understands, measures, and enhances the member experience through debit products.

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 engineering and product teams to solve the biggest problems and challenges that we're facing. You will ...

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 ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with ...

Senior Data Analyst - Epic

Odell, OR

$88K - $111K/yr

The Senior Epic Data Analyst serves as a technical and strategic expert within the Data & Analytics team, responsible for designing, developing, optimizing, and governing enterprise analytics ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in building and implementing a robust financial analytics function within Finance. This role will leverage ...

OR

$106K - $125K/yr

OpenX Technologies, Inc. is looking for a Senior Data Analyst to join our dynamic and high-performing Business Intelligence team within the Finance organization. Our organization's mission is to ...

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

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 ...

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data ...

$85K - $108K/yr

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

OR

$85K - $100K/yr

The Sr. Analyst, Data Visualization role supports the delivery of one of our most impactful solutions, which allows our clients to access insights faster, improves their decision-making, and drives ...

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Showing results 1-20

Senior Data Analyst information

See Oregon salary details

$58.2K

$104.9K

$143.3K

How much do senior data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior data analyst in Oregon is $104,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $114,700.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Oregon? The most popular types of Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Senior Data Analyst jobs? Cities in Oregon with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 63% In-person, 8% Hybrid, and 29% Remote job distribution, with an average salary of $104,915 per year, or $50.4 per hour.

$85K - $108K/yr

Other

Retirement, PTO

Re-posted 27 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 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 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 our Consumer Goods sector team, the largest sector team at YipitData, covering major retailers and brands like Walmart, Target, Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team delivers data products and research that help the world's top investors understand consumer spending trends, market share shifts, and competitive dynamics across retail and branded goods.

This role is different from a typical Data Analyst seat. While you'll ramp onto existing products to build familiarity with our data, methodologies, and processes, the core expectation is not maintaining the current portfolio - it's pushing the boundaries of what we can offer. Working closely with the Sector Head and Research Lead , you'll focus on:

  • Identifying and building new product types and research opportunities - finding novel ways to leverage our data to answer the questions clients care about most, whether that means developing entirely new methodologies, exploring new third-party datasets, or creating new analytical frameworks
  • Expanding into new use cases and client segments - for example, extending our consumer goods data to serve Macro investors or other end markets that we haven't traditionally addressed
  • Driving strategic impact - partnering with Research to shape the sector's roadmap with an evidence-based point of view, surfacing opportunities proactively, and ensuring our most innovative work translates into client value
  • Raising the bar through example - while formal mentoring sits with the data lead, you'll be one of the most senior ICs on the team and will naturally elevate the work of mid-level and high-potential junior analysts through the standard you set, the rigor of your technical review, and your willingness to collaborate

This is a role for someone who gets energy from building new things in ambiguous spaces - not someone looking to settle into a well-defined product portfolio. You'll be client-adjacent (informing what goes to investors rather than presenting directly, though there will be opportunities to be client-facing where it adds value) and deeply embedded in the strategic direction of one of our highest-impact sectors.

As a Senior Data Analyst, you will:

  • Own high-impact 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 quickly into full ownership of your products and workflows, operating with minimal oversight.
  • 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 independently, using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require innovative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - significantly increasing speed, reducing manual work, and beginning to automate portions of workflows. You'll standardize best practices and build repeatable processes, always maintaining a high bar for correctness and quality while validating AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop technical solutions that streamline workflows, optimize data processes, and push the boundaries of automation.
  • Drive Product and Strategic Impact - Identify opportunities to improve products, develop new methodologies, explore new datasets, and enhance client value. Connect your technical work to business outcomes and contribute to the strategic direction of your sector.

You Are Likely To Succeed If:

  • You have 6-8+ 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 drive high-stakes decisions
  • You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
  • You have a proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works
  • You have led complex, ambiguous projects with multiple stakeholders - scoping the approach, driving alignment, and delivering outcomes - with a strong bias toward action and ownership
  • You can clearly communicate complex concepts - including methodology, risks, and tradeoffs - and influence cross-functional partners to move decisions forward
  • 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 $165K-$205K. 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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