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Data Analytics Jobs in Oregon (NOW HIRING)

What We Need The Director, Revenue Strategy, Data & Analytics is the business's "brain trust" - equal parts strategist and data scientist. This role owns the annual operating plan (AOP), forecasting ...

Senior Data Analyst

OR · On-site +1

$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 ...

Data Analyst

OR · On-site +1

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 ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Data Analyst

OR · On-site +1

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 ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

OR · On-site

$51K - $64K/yr

Translate business questions into meaningful analytics, dashboards, and performance measures ... Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Business ...

OR · On-site

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

Showing results 21-40

Data Analytics information

See Oregon salary details

$25

$57

$99

How much do data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics in Oregon is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $65.58 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Oregon?

The most popular types of Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Data Analytics jobs?

Cities in Oregon with the most Data Analytics job openings:

Infographic showing various Data Analytics 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 $120,397 per year, or $57.9 per hour.

Director, Revenue Strategy, Data & Analytics

NetBrain

OR • On-site, Remote

$180K - $205K/yr

Full-time

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

What We Need

The Director, Revenue Strategy, Data & Analytics is the business's "brain trust" - equal parts strategist and data scientist. This role owns the annual operating plan (AOP), forecasting, and revenue science for the go-to-market organization, converting product telemetry and pipeline data into the annual plan, the quarterly forecast, and the weekly operating rhythm. The Director serves as the single source of revenue truth for Sales, Customer Success, and executive leadership, and is charged with intentionally applying AI to automate analytics, insights, and workflows that amplify seller and CSM productivity.

What You'll Do

  • Revenue Planning & AOP: Lead the annual operating plan process end to end, including quota setting, capacity modeling, and territory carve. Partner with Sales, Customer Success, and Finance leadership to align headcount, coverage, and targets to the company's growth plan.
  • Forecasting & Pipeline Analytics: Own and run the weekly "call of the number" cadence with sales and CS leadership. Synthesize Gong conversation signal into forecast inputs, and govern the commit / best-case / worst-case forecasting methodology used across the business.
  • Revenue Data Science: Build and maintain propensity-to-close, churn, and expansion models fed by product usage and firmographic data. Partner with data engineering and BI to operationalize these models directly into seller and CSM workflows.
  • GTM Data Engineering: Own the strategy for the revenue data warehouse and drive identity resolution across product, marketing, CRM, and support systems, ensuring data governance and single-source-of-truth integrity.
  • Segmentation & TAM: Develop and maintain ideal-customer profiling scored on network complexity, device count, and change velocity. Refine total addressable market sizing and segmentation as go-to-market strategy evolves.
  • AI-Enabled GTM Execution: Intentionally identify, pilot, and scale AI tooling to automate analytics, insights, and workflows that amplify seller and CSM productivity across the revenue organization.

What You Bring

  • 8-10+ years in revenue operations, sales strategy, business intelligence, or related analytics roles, including 3+ years in a leadership capacity.
  • Proven ownership of an annual operating plan cycle - quota setting, capacity modeling, and territory design - at a B2B SaaS company.
  • Strong SQL and data modeling skills, with hands-on experience in BI/analytics tools (e.g., Tableau, Looker, Power BI) and Salesforce data models.
  • Experience building or partnering closely with data science teams on propensity-to-close, churn, and expansion models.
  • Track record translating pipeline and product telemetry into forecast and planning outputs used by executive leadership.
  • Executive-level communication skills; comfortable presenting forecast and plan outputs to CRO / executive staff.
  • Experience piloting or scaling AI-enabled analytics and workflow tools within a go-to-market organization is a strong plus.
  • Bachelor's degree in business, finance, economics, statistics, or a related field; MBA or advanced analytics degree a plus.
  • 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 $180,000 - $205,000 + 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.