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Senior Data Analyst Jobs in Oregon (NOW HIRING)

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 ...

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 evidence studies with the mission of delivering personalized care to cancer patients. What you'll do:

New

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 - 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 ...

Sr. Epic Data Acquisition Analyst

$85K - $108K/yr

Overview The Senior Epic Data Acquisition Analyst leads the Data Acquisition Team's engagements with client health systems to plan, design, and deliver the extraction of clinical, pharmacy ...

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ...

$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 · On-site

$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 ...

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 ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... Strong business-facing skills with confidence to engage senior stakeholders and translate business ...

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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 Aug 9, 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 is a senior data analyst?

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 a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
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 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 $104,915 per year, or $50.4 per hour.

$130K - $155K/yr

Full-time

Medical, Dental, Retirement

Re-posted 10 days ago


Job description

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 number. This person will convert product telemetry and pipeline data into the annual operating plan, quarterly forecast, and weekly operating rhythm, serving as the single source of revenue truth across our go-to-market organization

What You'll Do

  • Own the annual operating plan (AOP) process - quota setting, capacity modeling, territory carve, and segment-level planning - translating strategic goals into a bottom-up GTM plan with clear assumptions.
  • Run the weekly forecast using commit/best/worst methodology, synthesizing Gong deal signals, pipeline movement, and coverage ratios into an accurate, defensible call of the number.
  • Build and maintain propensity-to-close, churn, and expansion models fed by product usage telemetry and firmographic data, surfacing risk and opportunity signals before they appear in lagging CRM metrics.
  • Architect and maintain the revenue data warehouse, owning identity resolution across product, marketing, CRM, and support data sources to create a unified GTM data layer.
  • Develop and continuously refine ideal-customer profiles scored on network complexity, device count, and change velocity; own TAM sizing and segment definitions.
  • Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows - amplifying seller productivity and reducing time-to-insight across the revenue organization.
  • Partner with Sales, Marketing, Finance, and Customer Success leadership to build self-service reporting and ensure data-driven decision-making across the GTM organization.
  • Define, document, and maintain key revenue metrics and their calculation logic as the single source of truth for the business

What You Bring

  • 6-8 years of experience in revenue analytics, sales/marketing data science, or a similar function at a B2B software or SaaS company.
  • Demonstrated ownership of an annual operating plan or quota-setting process, with hands-on experience in capacity modeling and territory design.
  • Expert-level SQL across complex analytical workloads (window functions, CTEs, query optimization) and data warehouse experience (Snowflake, BigQuery, or Redshift).
  • Deep Salesforce CRM proficiency - SOQL, object relationships, custom reporting, and data quality management.
  • Hands-on forecasting experience using commit/best/worst methodology; familiarity with AI-assisted signal tools such as Gong.
  • Experience building predictive models (propensity-to-close, churn, expansion) using Python or R.
  • Strong working knowledge of GTM segmentation - ICP scoring, TAM sizing, and firmographic/technographic modeling.
  • Proven ability to translate complex analytical findings into clear executive-facing narratives and recommendations.
  • Experience integrating product usage/telemetry data into revenue models is a strong plus.
  • Familiarity with identity resolution across disparate GTM data sources (marketing automation, CRM, product, support) preferred.
  • Prior work applying AI/ML to GTM workflows - automated insight generation, NLP on call transcripts, or workflow automation - preferred.
  • Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
  • Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

What We Offer

Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company.

For this role, the estimated base is $130,000 - $155,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to 401k and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.