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Data Visualization Jobs in Oregon (NOW HIRING)

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

OR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau. * Experience working with ERP systems, preferably SAP Nice-to-haves: * Experience with data ...

Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit) * Understanding of underlying data systems such as Cloud architectures and SQL * Bachelor's or Master ...

Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau. * Experience working with ERP systems, preferably SAP Nice-to-haves: * Experience with data ...

OR · On-site

$113K - $188K/yr

Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best practices and compliance in federal environments. * Experience with microservices, Spring Boot, and ...

OR · On-site

This role focuses on data structuring, process standardization, and signal analysis to enable ... Reporting & Visualization * Develop and maintain dashboards and reports that provide: - Clear ...

OR · On-site

$102K - $170K/yr

Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best practices and compliance in federal environments. * Experience with microservices, Spring Boot, and ...

OR · On-site

$113K - $188K/yr

Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best practices and compliance in federal environments. * Experience with microservices, Spring Boot, and ...

IBM Cognos, SAP Business Objects or Microsoft Power BI • Experience with SAS, Python, R and other data analysis tools • Development experience with the following BI Data Visualization platforms:

Experience with data visualization tools such as Tableau, Power BI, or similar. * Programming experience in Python, Java, or similar languages. * Strong analytical and problem-solving abilities.

HR Data Analyst, Talent Analytics

OR · Remote

$90K - $106K/yr

Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences ...

OR

$122K - $161K/yr

Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love. We're ...

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Showing results 1-20

Data Visualization information

See Oregon salary details

$57.1K

$115.7K

$170.8K

How much do data visualization jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data visualization in Oregon is $115,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $130,000.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.
What are the most commonly searched types of Data Visualization jobs in Oregon? The most popular types of Data Visualization jobs in Oregon are:
What cities in Oregon are hiring for Data Visualization jobs? Cities in Oregon with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Oregon as of May 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $115,720 per year, or $55.6 per hour.

Job description

Job Description
This is a remote position.
Title: Operational Analyst
Duration: 12 Months
Location: Beaverton, OR - 100% Remote
Description
Responsible for delivering analytical data needs including data analysis, data visualization, data quality
• Handle complex data requests, and reports.
• Work with leaders and analysts within Utility Asset Management to develop analysis and automated reports for the team
• Collaborate with the team to implement data processes, procedures and tools to achieve a solid data analysis which is accurate, and consistent.
Can you give a high-level overview of your team size, roles, its initiatives/deliverables, and any tool/technologies specific to your team/department/project they will be supporting: Team of 20 - responsible for delivering analytical data needs including data analysis, data visualization, data quality, and communicating reporting output.
What would "a day in the life" of this role look like?: Data analytics, dashboard building, QAQC, team communication, reporting
What interaction level with this role have the team members and hiring manager? daily
What would you say is the top priority for the worker over the first few weeks/months?: Learning the business while putting skill sets into working actionable items
Requirements
Required Skills
Is utilities experience required? (Y/N) N
Education Requirements (Experience in Lieu of Degree): degree in engineering would be nice to have
How many years of experience are you looking for?: 2+
Required Skills: Requirement gathering and documentation
Tableau desktop
Knowledge of data bases preferred Oracle and Snowflake
Excel
Comfortable with ambiguity
Critical thinking
Top 3 Must-Haves (Hard and/or Soft Skills):
1. critical thinking
2. comfort with ambiguity/change
3. Tableau experience
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1. degree in engineering
2.utility experience
3.data science experience