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Data Visualization Jobs in Kent, WA (NOW HIRING)

Data Scientist - Pricing

Redmond, WA · On-site

$133K - $219K/yr

Data Visualization : Develop dashboards and other visuals to monitor key business trends, identify new opportunities, and translate findings to actionable insights. * Thought Leadership : Stay ...

Senior Data Analyst

Seattle, WA · Hybrid

$97K - $123K/yr

Significant experience with data visualization software and analytics best practices. Experience with Tableau and Tableau Server preferred. * Experience working with business teams to define ...

AI and Data Science Engineer III

Seattle, WA

$130K - $156K/yr

Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms). * Translate ambiguous business problems into structured ...

Expertise in data visualization and using data insights to make recommendations. * Proven ability to manage and deliver on multiple projects with great attention to detail. * Ability to clearly ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... visualization skills, including experience in geospatial data representations • Excellent verbal and written communication skills • Experience with developing and deploying tools used for data ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... visualization skills, including experience in geospatial data representations • Excellent verbal and written communication skills • Experience with developing and deploying tools used for data ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to ...

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Data Visualization information

See Kent, WA salary details

$61K

$123.6K

$182.3K

How much do data visualization jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data visualization in Kent, WA is $123,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $138,900.00 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 Kent, WA? The most popular types of Data Visualization jobs in Kent, WA are:
What are popular job titles related to Data Visualization jobs in Kent, WA? For Data Visualization jobs in Kent, WA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Kent, WA look for? The top searched job categories for Data Visualization jobs in Kent, WA are:
What cities near Kent, WA are hiring for Data Visualization jobs? Cities near Kent, WA with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Kent, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $123,557 per year, or $59.4 per hour.
Data Scientist - Pricing

Data Scientist - Pricing

Microsoft

Redmond, WA • On-site

$133K - $219K/yr

Full-time

Posted 8 days ago


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 186 rated software companies


Job description

Overview
The Cloud and AI Platforms Monetization organization is a big picture team that encourages a diverse and inclusive culture. We are growth strategists who enable the Microsoft mission by creating durable profit growth through high-impact monetization strategies, packaging, and pricing.
We are seeking a Data Scientist - Pricing to drive yield optimization strategies for Azure infrastructure (e.g., virtual machines). In this role, you will translate revenue, hardware, and capacity data into actionable insights that maximize resource utilization, improve cost efficiency, and enhance customer experience. You will use your advanced analytics, machine learning, causal inference, and visualization skills to influence strategic decisions at scale
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
  • Data Analysis & Modeling: Analyze large-scale datasets to identify patterns, trends, and opportunities for improving yield and efficiency.
  • Yield Optimization: Develop machine learning models to optimize resource allocation and pricing strategies.
  • Cross-Functional Collaboration: Partner with business planning, engineering, product management, and finance teams to align yield strategies with business objectives.
  • Experimentation & A/B Testing: Design and execute experiments to validate optimization hypotheses. Build causal inference models (e.g., difference-in-difference, synthetic control) to measure the impact of business decisions.
  • Data Visualization: Develop dashboards and other visuals to monitor key business trends, identify new opportunities, and translate findings to actionable insights.
  • Thought Leadership: Stay current with industry trends in AI, cloud economics, and optimization techniques; share insights and best practices internally.
  • Other: Embody our Culture and Values

Qualifications
Required/minimum qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Additional or preferred qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience in Python, R, or similar languages
  • Experience with Azure Machine Learning (ML) or equivalent cloud-based ML platforms.
  • Experience working with large-scale data and distributed systems.
  • Experience with yield or revenue management, pricing optimization, or cloud resource allocation.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100.00 - $202,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800.00 - $219,200.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

Pay

Benefits

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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