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Data Visualization Jobs in Everett, WA (NOW HIRING)

Brown and Caldwell

Associate Data Analyst

Seattle, WA · On-site

Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards * Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) * Ability to ...

Amazon

Senior Data Scientist, Amazon Leo

Bellevue, WA · On-site

... visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Master's degree in a quantitative field such as statistics, mathematics, data science ...

New

Walmart

(USA) Staff, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

Join Walmart as a Staff Data Scientist and leverage your expertise in predictive analytics, machine learning, and data visualization to drive data-driven decision-making across business functions.

11105 Expedia, Inc.

Data Scientist

Seattle, WA

Storytelling and data visualization for both technical and non-technical audiences. Strong business acumen and domain judgment. In this role, you will: People Leadership & Team Development Directly ...

11105 Expedia, Inc.

Data Scientist

Seattle, WA

Storytelling and data visualization for both technical and non-technical audiences. Strong business acumen and domain judgment. In this role, you will: People Leadership & Team Development Directly ...

Anthropic

Data Scientist, Safeguards

Seattle, WA · On-site

Expertise in Python, SQL, and data visualization tools. * A bias for action and urgency, not letting perfect be the enemy of the effective. * A strong disposition to thrive in ambiguity, taking ...

Vizio

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

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 ...

Vizio

Senior, Data Scientist

Edmonds, WA · On-site

$108K - $216K/yr

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 ...

Walmart

Senior, Data Scientist

Seattle, WA · On-site

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 ...

Vizio

Senior, Data Scientist

Bellevue, WA · On-site

$108K - $216K/yr

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 ...

Vizio

Senior, Data Scientist

Kirkland, WA · On-site

$108K - $216K/yr

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 ...

Vizio

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

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 ...

Vizio

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

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 ...

Vizio

Senior, Data Scientist

Everett, WA · On-site

$108K - $216K/yr

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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Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in Everett, WA

Data Visualization information

See Everett, WA salary details

$59.7K

$120.9K

$178.4K

How much do data visualization jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data visualization in Everett, WA is $120,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $135,900.00 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.

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 increasing demand across 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
More about Data Visualization jobs
What are popular job titles related to Data Visualization jobs in Everett, WA? For Data Visualization jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Everett, WA look for? The top searched job categories for Data Visualization jobs in Everett, WA are:
What cities near Everett, WA are hiring for Data Visualization jobs? Cities near Everett, WA with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,907 per year, or $58.1 per hour.

Associate Data Analyst

Brown and Caldwell

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 441 rated engineering

Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.
Responsibilities
  • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys).

  • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality.

  • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions.

  • Organize raw data into structured formats-such as data tables, CSV files, or relational databases-making it accessible and ready for analysis by analysts, data scientists, and business stakeholders.

  • Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets.

  • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts.

  • Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention.

  • Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers.

  • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel.

  • Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server.

  • Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines.

  • Collaborate with cross-functional teams-including marketing, product, finance, and operations-to understand their goals and translate them into data requirements.

  • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports.

  • Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues.

  • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members.

  • Flexibility to adapt and execute various additional assignments based on evolving needs.

Mentorship
  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles.

Skills and Competencies
  • Proficiency in SQL for data extraction, transformation, and analysis

  • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas

  • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards

  • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering)

  • Ability to perform exploratory data analysis and identify actionable insights

  • Familiarity with Python or R for data manipulation and visualization (preferred)

  • Skilled in cleaning, validating, and transforming large datasets

  • Excellent communication skills for presenting data to non-technical stakeholders

  • Collaborative mindset with experience working across departments

  • Detail-oriented with a focus on data accuracy and consistency

  • Knowledge of data governance, metadata management, and quality assurance practices

  • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA)

  • Ability to identify process inefficiencies and recommend improvements

  • Experience supporting senior analysts with modeling, forecasting, and reporting

Experience
  • Typically, a minimum of 2 years' related work experience in Data Analytics or a related field is required.

Education
  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline) is required.

Salary Range: The anticipated starting pay range for this position is based on the employee's primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future.
Location A:
$71,000 - $96,000
Location B:
$78,000 - $106,000
Location C:
$85,000 - $115,000
You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.
Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits.
About Brown and Caldwell
Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice-to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com
This position is subject to a pre-employment background check and a pre-employment drug test.
Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.
Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.
#LI-Remote
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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