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Data Visualization Jobs in Oregon (NOW HIRING)

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Job Summary : MDAEdge is a company seeking a Data Visualization Engineer to join their team. The role involves collaborating with various professionals to deliver reliable data insights and ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to Friday, 9am to 5pm Duration: 06 months Job Type: Hybrid (4 Days onsite/week) *W2 candidates only ...

Prodege is moving fast, and we need a data visualization lead who looks at a messy client problem and wants to build the repeatable system behind solving it, not just push it through once. If you ...

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 ...

OR

$340K - $510K/yr

As a Senior Data Visualization Engineer, you will be a key owner of our product suite, partnering with Analytics Engineers and Product Managers to build exceptional data experiences. This is a role ...

New

Strong analytical skills, including proficiency with Microsoft Office Suite and experience using spreadsheets, databases, reporting tools, and data visualization platforms. * Demonstrated ability to ...

$90K - $130K/yr

Experience with data analysis, data visualization, and reporting. * Excellent written and verbal communication skills, with the ability to translate technical analyses into clear, actionable insights ...

Data Analysis Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Analysis Tutor

OR · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Analysis Tutor

Eugene, OR · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Scientist

OR · On-site +1

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

Knowledge of data visualization, feature selection, and geospatial analytics is required. * Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working ...

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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 Jul 27, 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

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 jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
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 are popular job titles related to Data Visualization jobs in Oregon? For Data Visualization jobs in Oregon, the most frequently searched job titles 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $115,720 per year, or $55.6 per hour.

Data Visualization Engineer

MDAEdge

Beaverton, OR • On-site

$120K - $145K/yr

Full-time

Posted 24 days ago


Job description

Job Summary:
MDAEdge is a company seeking a Data Visualization Engineer to join their team. The role involves collaborating with various professionals to deliver reliable data insights and documenting processes for knowledge transfer.
Responsibilities:
• Work with a team of approximately 10–12 professionals, including principal engineers, domain partners, and finance analysts.
• Navigate multiple data sources and trace back data pipelines to identify the true source of information.
• Collaborate with software engineers, cost analysts, and finance partners to deliver reliable data insights.
• Participate in cross-functional meetings with leadership and domain partners.
• Document processes, communicate insights clearly, and support knowledge transfer within the team.
• Be available to start as soon as possible.
Qualifications:
Required:
• Minimum 5–6 years of experience
• Strong background in data and visualization engineering
• Proficiency in Python for coding and data integration
• Expertise in SQL for querying and managing data
• Hands-on experience with Azure and AWS cloud environments
• Skilled in Power BI for dashboarding and data visualization
• Ability to follow and debug data code to find the source of truth
• Ability to work independently and within a fast-paced team environment
• Strong communication and documentation skills
• Readiness to adapt to team schedules, including DTL weeks in December
Preferred:
• Familiarity with financial data or cost analysis
• Experience with automation tools or building automated data workflows
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.