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Science Visualization Jobs in Spokane, WA (NOW HIRING)

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... data visualization, business analysis, and real-world data problem solving. Responsibilities ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab ...

Science Visualization information

See Spokane, WA salary details

$24.8K

$48.9K

$79.9K

How much do science visualization jobs pay per year?

As of Jul 2, 2026, the average yearly pay for science visualization in Spokane, WA is $48,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $52,600.00 per year, depending on experience, location, and employer.

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

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

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Spokane, WA? For Science Visualization jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Spokane, WA look for? The top searched job categories for Science Visualization jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Science Visualization jobs? Cities near Spokane, WA with the most Science Visualization job openings:
Infographic showing various Science Visualization job openings in Spokane, WA as of June 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $48,929 per year, or $23.5 per hour.
Analytics & Data Solutions Manager/Team Leader

Analytics & Data Solutions Manager/Team Leader

Gesa Credit Union

Spokane, WA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Gesa Credit Union rating

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Analytics And Data Solutions Manager/Team Leader

Under the general supervision of the VP of Business Intelligence, the Analytics and Data Solutions Manager/Team Leader will lead enterprise analytics strategy, delivery, and capability development to drive data-informed decision making across Gesa Credit Union. Serving as a senior leader and trusted advisor, the role ensures analytics solutions align with business priorities, meet governance standards, and deliver high-quality, actionable insights. The position will provide leadership to Data Analysts, establish enterprise analytics standards and best practices, and partner with Data Governance and IT to ensure trusted data foundations. Additionally, the role advances strategic initiatives in analytics, AI, and machine learning to enhance decision-making, manage risk, and improve business performance.

Here you can join a team who is passionate about serving others, has a desire to do good, and shares a deep love of people. You can engage in meaningful work that impacts your community. You can challenge yourself and grow in your career. And, you can rest assured that your wellbeing and prosperity are our priority.

What You Will Be Doing:

  1. Lead and oversee enterprise analytics and data solutions initiatives to support strategic and operational decision-making across the credit union
  2. Provide direct leadership, coaching, and performance management for the Data Analyst team
  3. Establish clear expectations for analytics delivery that extend beyond dashboard development to include exploratory, diagnostic, and trend‑based analysis
  4. Guide and mentor analysts in applying appropriate analytical techniques, including basic statistical analysis where appropriate, to better understand drivers, patterns, and outcomes
  5. Ensure analytics deliverables clearly communicate insights, implications, and recommended actions, not just metrics or visualizations
  6. Drive data science initiatives by leveraging artificial intelligence (AI) and machine learning (ML) technologies to predict trends, evaluate risks, and optimize business processes across the organization
  7. Partner with business leaders to identify, prioritize, and deliver analytics solutions that address key organizational challenges and opportunities
  8. Collaborate with Data Intelligence, Data Engineering, Data Governance, and IT teams to ensure analytics solutions are built on reliable, secure, and governed data assets
  9. Temporarily align analysts from business units under centralized analytics leadership, as needed, to accelerate skill development, consistency, and analytical maturity
  10. Define readiness criteria and standards for transitioning analysts back to business units while preserving enterprise analytics practices
  11. Support the responsible use of advanced analytics, including statistical and exploratory methods, in alignment with business readiness and regulatory expectations
  12. Promote data literacy and a culture of informed, evidence‑based decision‑making across the organization
  13. Represent the Data Intelligence organization in cross‑functional initiatives, projects, and committees as assigned

About You:

  1. Strong leadership and people‑management skills, with the ability to develop and motivate analytics professionals
  2. Demonstrated ability to move analytics teams beyond reporting toward meaningful analysis and insight generation
  3. Strong understanding of analytics, business intelligence, and decision-making support practices in regulated environments
  4. Familiarity with end-to-end business process mapping and P&L financial models, supporting the translation of analytics into operational and financial insight.
  5. Ability to translate complex data and analysis into clear, actionable insights for technical and non‑technical audiences
  6. Working knowledge of modern analytics and data platforms, including cloud‑based analytics ecosystems and visualization tools
  7. Proficiency in data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), and cloud data solutions (Azure Databricks)
  8. Understanding of analytical techniques such as trend analysis, segmentation, and basic statistical methods
  9. Strong business acumen, with the ability to connect analytics insights to operational performance and strategic objectives
  10. Excellent communication, presentation, and stakeholder‑management skills
  11. Strong analytical thinking, problem‑solving, and prioritization abilities
  12. Commitment to data quality, governance, and continuous improvement

Leadership core competencies:

  • Leading Others
  • Developing Others
  • Emotional Intelligence
  • Social Responsibility
  • Performance & Results Orientation

What You Will Need:

  1. Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field required; advanced degree preferred
  2. Five (5) to eight (8) or more years of experience in analytics, business intelligence, or solutions development supporting business decision‑making required
  3. One (1) to three (3) or more years of experience leading, mentoring, or managing a team of analysts or analytics professionals required
  4. Demonstrated experience partnering with business stakeholders to deliver analytics solutions that drive measurable outcomes
  5. Experience working in financial services or other regulated environments preferred

In exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:

  • Competitive Pay
  • Medical, Dental, Vision, and Life Insurance
  • 20 days/year of Paid Time Off – Plus 10 Paid Holidays!
  • 401(k) Match
  • Incentive Program
  • Tuition Assistance and Student Loan Repayment
  • Commuter Benefits
  • Paid Time Off to Volunteer in the Community
  • Product discounts
  • Engaging Work Environment
  • Rewards and Recognition Programs

Full Salary Range:

Richland, WA: $118,697.69-$197,829.49 Spokane, WA: $118,697.69-$197,829.49 Renton, WA: $143,516.30- $239,193.84 *While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. This approach gives room to grow within the role as your career progresses with us!

Get wise to what's possible with a career at Gesa. Join us!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the HR Department at (509) 378-3100 or hrmail@gesa.com to request an accommodation.

Gesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.

Selected candidate(s) must be able to pass a pre-employment credit/background check.

Gesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran.

Equal Employment Opportunity (gesa.com)


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