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Data Science Visualization Jobs in Portland, OR (NOW HIRING)

Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... data visualization tools, and semiconductor process control methodologies. Proficiency in ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... data visualization tools, and semiconductor process control methodologies. Proficiency in ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... data visualization tools, and semiconductor process control methodologies. Proficiency in ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... data visualization tools, and semiconductor process control methodologies. Proficiency in ...

Linear Algebra Tutor

Portland, OR · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Energy Analyst

Portland, OR · On-site

$80 - $100/hr

... data science, statistics, operations research, mathematics, or similar) * Minimum 5 years of experience in data analysis and data visualization in Python; you wake up wondering what new tricks you ...

Showing results 41-60

Data Science Visualization information

See Portland, OR salary details

$57.3K

$116.1K

$171.3K

How much do data science visualization jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science 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 science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Portland, OR?

For Data Science Visualization jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Portland, OR look for?

The top searched job categories for Data Science Visualization jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Science Visualization jobs?

Cities near Portland, OR with the most Data Science Visualization job openings:

Infographic showing various Data Science Visualization job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,073 per year, or $55.8 per hour.

Data Analyst

Weir

Portland, OR • On-site

Full-time

Re-posted 14 days ago


Job description

Data Analyst

Location- Ft Worth, TX
Work Arrangement- Hybrid

What we do at Weir
We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet's future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

Make your impact
You'll play a key role in solving real-world challenges. You'll apply your skills to deliver results that matter whether that's through engineering, planning or customer support. You'll work with purpose, learn every day and help shape a more sustainable future.

What you'll do

  • Business Engagement & Analysis:Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate these into clear business requirements and future state solutions.

  • Solution Definition & Delivery: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 business goals and deliver measurable value.

  • Collaboration & Communication:Act as the key interface between business stakeholders (including director level and above) and technical teams, fostering strong relationships and clear communication. Champion data-driven decision-making and strategic thinking.

  • Agile Execution & Product Support:Participate in the full product lifecycle from ideation through deployment using a scaled agile approach. Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform catalog and contribute to continuous improvement.

  • Technology & Tools:Utilize and support tools such as Power BI (deep expertise preferred), Tableau, SAP (especially SAP HANA), and Microsoft technology stack. Understand ERP data flows and source-to-target mapping to enable effective analytics solutions.

  • Safety First:Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.

What you'll bring

Must-haves:

  • Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments.

  • Strong business-facing skills with confidence to engage senior stakeholders and translate business needs into technical requirements.

  • 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 engineering concepts and tools, including data bricks and data fabric technologies.

  • Familiarity with scaled agile frameworks and product lifecycle management.

  • Background in consulting or roles requiring problem-solving using data to drive business outcomes.

  • Experience working in international and multicultural teams.

Why join Weir?
We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.
We're passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.
We believe your voice matters and your ideas make a difference. We're working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay

  • Access to global inclusion networks

  • Regional and team-specific benefits

  • Sharebuilder scheme

  • Wellness support for you and your family

  • Collaboration with global teams


#minerals
#LI-EW1