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Visualization Jobs in Seattle, WA (NOW HIRING)

MySQL * Data Visualization * Dashboard Development * Reporting * KPI Analysis * ChatGPT Work * Codex * Claude Cowork * AI Agents * Workplace Connectors Preferred Qualifications * Professional ...

Excellent graphic design, layout, infographic, and/or data visualization skills * Proficiency with Microsoft Office, including Word and PowerPoint * Proficiency with Adobe InDesign and Acrobat

New

... BI visualization, good understanding or exp of SSAS/ DAX/MDX would be a bonus. Qualifications : Required : • 10+ years of core data engineering experience using MS BI stack technologies • ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership. Empower technical and non-technical, internal customers to drive ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership. Empower technical and non-technical, internal customers to drive ...

Showing results 41-60

Visualization information

See Seattle, WA salary details

$61.5K

$124.6K

$183.9K

How much do visualization jobs pay per year?

As of Sep 15, 2026, the average yearly pay for visualization in Seattle, WA is $124,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What is a visualization?

A Visualization job involves creating graphical or interactive representations of data to help communicate insights effectively. Professionals in this field use tools like Tableau, Power BI, D3.js, or Python libraries to transform raw data into meaningful visuals. They work across industries to enhance decision-making by making complex information more accessible. Strong analytical skills and an understanding of design principles are essential for success in this role.

What does a visualization do?

Visualization professionals are often responsible for transforming raw data into visually compelling and easily understandable charts, dashboards, and reports. Daily tasks may include meeting with stakeholders to gather requirements, analyzing datasets, selecting appropriate visualization methods, and iterating designs based on feedback. They work closely with data analysts, business intelligence teams, and sometimes software engineers to ensure the accuracy and clarity of visualizations. This collaborative approach ensures that stakeholders can easily gain insights and make informed decisions based on the presented data.

What are the key skills and qualifications needed to thrive in visualization, and why are they important?

To excel in a Visualization role, you need strong analytical skills, a solid grasp of data interpretation, and often a background in fields such as computer science, design, or statistics. Familiarity with tools like Tableau, Power BI, Python (with data visualization libraries), or D3.js, and possibly certifications in data visualization or analytics, are highly valued. Exceptional attention to detail, creativity, and strong communication skills set top candidates apart. These competencies enable you to present complex information in clear, impactful ways, supporting effective decision-making across the organization.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, while experienced specialists with skills in tools like Tableau or Power BI can command higher pay, especially in tech or finance sectors.

Is data visualization a good career?

Data visualization is a growing field within data analysis and business intelligence, requiring skills in tools like Tableau, Power BI, or D3.js. It offers opportunities in various industries, often with a demand for strong analytical and design skills, and can lead to roles such as data analyst or data scientist.

What are the most commonly searched types of Visualization jobs in Seattle, WA?

The most popular types of Visualization jobs in Seattle, WA are:

Infographic showing various Visualization job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $124,628 per year, or $59.9 per hour.

Analytics Expert - Remote

Seattle, WA • Remote

$30 - $80/hr

Full-time

Posted 20 days ago


Job description

Business Intelligence & Analytics Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to provide accurate, practical feedback that helps train next-generation AI systems.

Key Responsibilities
  • Review and validate dashboards, reports, KPIs, and data visualizations.
  • Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks.
  • Check data sources, calculations, metrics, and reporting logic for accuracy.
  • Evaluate KPI structures and analytical outputs for actionable business insights.
  • Test AI agents such as ChatGPT Work, Codex, and Claude Cowork in analytics workflows.
  • Identify errors, inconsistencies, and opportunities for improvement.
  • Document findings and provide structured feedback.
  • Evaluate BI integrations with tools such as Google Drive, Slack, Microsoft 365, SharePoint, and Salesforce.
Required Skills
  • Business Intelligence
  • Data Analytics
  • Power BI
  • Tableau
  • Looker
  • Qlik
  • Sigma
  • Databricks
  • MySQL
  • Data Visualization
  • Dashboard Development
  • Reporting
  • KPI Analysis
  • ChatGPT Work
  • Codex
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in BI, analytics, reporting, or data visualization.
  • Hands-on experience building or validating dashboards and analytical workflows.
  • Strong knowledge of BI tools, SQL, data sources, and KPI reporting.
  • Experience using generative AI or AI agents in professional workflows.
  • Experience integrating BI platforms with workplace and cloud-based systems.
  • Strong analytical, problem-solving, and communication skills.
  • Excellent attention to detail when reviewing data, calculations, and business metrics.