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Data Visualization Jobs in Portland, OR (NOW HIRING)

Information science Signal processing Data mining Data warehousing Performance computing Big Data Data extraction and visualization Business process analysis: process and workflow efficiency Six ...

Experience must include: • Python • SQL • Data Brix • Tableau Prep • Power Query • Tableau Developer • Data Visualization • Alteryx • ThoughtSpot Reporting Apply at www.Nike.com ...

Budget Analyst Senior

Portland, OR · On-site

$85K - $131K/yr

Got skills in business intelligence or data visualization tools like Tableau? That's a huge plus. If you do, you'll fit right in and help us make our financial and budget data shine. Our team The ...

Budget Analyst Senior

Portland, OR · On-site

$85K - $131K/yr

Got skills in business intelligence or data visualization tools like Tableau? That's a huge plus. If you do, you'll fit right in and help us make our financial and budget data shine. Our team The ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Technical data analysis and interpretation, including preparation of hydrogeologic cross sections, groundwater contour maps, geochemical and/or hydrogeologic modeling, and data visualization (i.e ...

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Data Visualization information

See Portland, OR salary details

$57.3K

$116.1K

$171.3K

How much do data visualization jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data visualization in Portland, OR is $116,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $130,400.00 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 Portland, OR? The most popular types of Data Visualization jobs in Portland, OR are:
What job categories do people searching Data Visualization jobs in Portland, OR look for? The top searched job categories for Data Visualization jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Visualization jobs? Cities near Portland, OR with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,073 per year, or $55.8 per hour.
APTM Yield Analysis Senior Engineer / Team Leader

APTM Yield Analysis Senior Engineer / Team Leader

Intel

Hillsboro, OR

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


Job description

Job Details:Job Description: 

Yield Analysis and Defects Lead Engineer

The Advanced Packaging Technology and Manufacturing (APTM) Yield Group is seeking a Yield Analysis and Defects Lead Engineer to drive yield and defect improvement initiatives across Intel's advanced packaging technology portfolio.

In this role, you will lead efforts to identify, analyze, and resolve yield-limiting mechanisms throughout technology development and high-volume manufacturing (HVM). You will work with large-scale datasets, advanced analytics, inline metrology systems, and cross-functional engineering teams to improve manufacturing processes, test methodologies, and defect detection capabilities.

The successful candidate will establish team priorities, influence technical roadmaps, drive results across organizational boundaries, and ensure progress toward key yield milestones. This position offers the opportunity to become a technical expert in advanced packaging technologies while solving complex manufacturing and yield challenges.

Key Responsibilities

  • Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies.
  • Analyze large volumes of manufacturing, test, and defect data to identify yield-impacting trends and opportunities for improvement.
  • Develop and implement solutions using manufacturing process knowledge, statistical methods, and structured problem-solving techniques.
  • Drive recommendations and influence yield improvement roadmaps across technology development and manufacturing organizations.
  • Analyze the relationship between electrical failures and physical defects through the application of:
    • Failure Isolation and Failure Analysis (FIFA)
    • Design for Test (DFT)
    • Sort and Test methodologies
    • Process Integration
    • Manufacturing process flows
    • Data mining and database analysis
    • Data visualization techniques
  • Evaluate inline defect metrology performance, detection capabilities, and defect monitoring systems used in manufacturing.
  • Partner with Process Engineering, Integration, Quality and Reliability (Q&R), Product Engineering, and Test Development Engineering teams to resolve yield and defect challenges.
  • Prepare and present detailed technical reports on yield performance, defect trends, and device health metrics.
  • Define and drive corrective actions necessary to achieve world-class yield performance.
  • Collaborate with upstream, downstream, and cross-functional stakeholders to support technology development, technology transfer, and successful ramp to high-volume manufacturing.
  • Lead and mentor small teams of engineers in direct or indirect leadership capacities.
  • Travel domestically and internationally as required.

Behavioral Skills

  • Ability to lead cross-functional teams and effectively influence stakeholders across organizational boundaries.
  • Comfortable working in ambiguous environments and adapting to changing priorities.
  • Strong teamwork, leadership, prioritization, and problem-solving capabilities.
  • Excellent analytical thinking and passion for data-driven decision-making.
  • Strong organizational skills and attention to detail.
  • Effective interpersonal skills with the ability to collaborate across all organizational levels.
  • Strong verbal, written, presentation, and technical communication skills.
  • Positive attitude with a willingness to take ownership and lead initiatives.
  • Ability to work independently with minimal supervision.
Qualifications:

Minimum Qualifications

  • Bachelor's degree with 9+ years of experience, OR
  • Master's degree with 6+ years of experience, OR
  • PhD with 4+ years of experience
  • In Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Science, Information Systems, Physics, Chemistry, or a related technical discipline.
  • 5+ years of experience performing data analysis using tools like JMP, Python, or similar statistical and data analysis tools.

Preferred Qualifications

  • Experience applying advanced statistical analysis techniques to manufacturing or yield-related problems.
  • Experience utilizing structured technical problem-solving methodologies.
  • Knowledge of semiconductor product design, circuit design, or architecture as it relates to yield analysis.
  • Knowledge of inline defect metrology systems and their application to yield improvement.
  • Experience with semiconductor manufacturing, advanced packaging technologies, or high-volume manufacturing environments.
  • Experience working with large manufacturing datasets, databases, and data visualization tools.
  • Experience leading technical projects or mentoring engineering teams.

Working Model

This role may require domestic and international travel as needed to support technology development and manufacturing activities.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, New Mexico, AlbuquerqueBusiness group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $190,610.00-269,100.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968