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Data Visualisation Analyst Jobs in Seattle, WA (NOW HIRING)

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory * Should have good analytical thinking and problem-solving skills * Good communication ...

Pwc

ERP AI Engineer - Manager

Seattle, WA · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

Pwc

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

Pwc

Data Governance- Manager

Seattle, WA · On-site

$99K - $232K/yr

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

Pwc

Data Strategy & Governance -Director

Seattle, WA · On-site

$155K - $410K/yr

... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...

All JobsData Visualisation Analyst JobsData Visualisation Analyst Jobs in Seattle, WA

Data Visualisation Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do data visualisation analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data visualisation analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What does a data visualisation analyst do?

A Data Visualisation Analyst is responsible for transforming complex data sets into clear and visually engaging charts, graphs, and dashboards. They use specialized tools and software to help organizations understand trends, patterns, and insights from their data. By communicating findings visually, they enable stakeholders to make informed decisions quickly and effectively. Their role often involves collaborating with data scientists, business analysts, and decision-makers to ensure that visualizations meet business needs.

What are some common challenges data visualisation analysts face when presenting insights to non-technical stakeholders?

Data Visualisation Analysts often encounter the challenge of translating complex data findings into clear, actionable visuals that resonate with non-technical audiences. It can be difficult to strike the right balance between detail and simplicity, ensuring that key insights are not lost while avoiding overwhelming the audience. Effective communication and tailoring presentations to the audience's level of data familiarity are critical for success. Additionally, Analysts may need to address stakeholder questions on data sources or methodologies, so being prepared with accessible explanations is essential.

What are the key skills and qualifications needed to thrive as a data visualisation analyst, and why are they important?

To thrive as a Data Visualisation Analyst, you need strong analytical skills, proficiency in statistics, and a solid grasp of data interpretation, often supported by a degree in mathematics, computer science, or a related field. Expertise in visualization tools like Tableau, Power BI, and proficiency in SQL or Python are typically required. Attention to detail, creativity, and the ability to communicate complex information simply are standout soft skills in this role. These skills are crucial for transforming raw data into actionable insights and ensuring stakeholders can make informed, data-driven decisions.

What is the difference between Data Visualisation Analyst vs Data Analyst?

AspectData Visualisation AnalystData Analyst
Primary FocusCreating visual representations of data to communicate insightsAnalyzing data sets to identify trends and patterns
Skills & ToolsData visualization tools (Tableau, Power BI), graphic designStatistical analysis, SQL, Excel
Work EnvironmentBusiness intelligence teams, data departmentsData analysis teams, research departments
CertificationsTableau Desktop Specialist, Power BI certificationsGoogle Data Analytics, Microsoft Certified Data Analyst

While both roles involve working with data, a Data Visualisation Analyst primarily focuses on creating visual tools to communicate data insights effectively, whereas a Data Analyst concentrates on analyzing data to uncover trends and inform decision-making. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.

Data Visualisation Analyst jobs near you
Infographic showing various Data Visualisation Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Data Engineer

Bellevue, WA • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Staffingine LLCexternal

$129K - $155K/yr

Contractor

Re-posted 3 days ago

Job description

Job Title: Data Engineer
Location: Bellevue, WA
Job Type: Onsite/Remote: Hybrid

Job Description:

  • Experience in Synapse with PySpark
  • Knowledge of Big Data pipelines, Data Engineering
  • Working Knowledge of the MSBI stack on Azure
  • Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage
  • Hands-on in Visualisation like Power BI
  • Implement end-to-end data pipelines using Cosmos Azure Data Factory
  • Should have good analytical thinking and problem-solving skills
  • Good communication and coordination skills
  • Able to work as an Individual contributor
  • Requirement Analysis
  • Create, Maintain, and Enhance Big Data Pipeline
  • Daily status reporting, interacting with Leads
  • Version control ADOGIT CICD
  • Marketing Campaign experiences
  • Data Platform Product telemetry Analytical thinking
  • Data Validation of the new streams
  • Data quality check of the new streams
  • Monitoring of the data pipeline created in Azure Data Factory
  • Updating the Tech spec and wiki page for each implementation of the pipeline
  • Updating ADO on a daily basis

Mandatory Skills: Java, Python, Scala, Snowflake, Azure Blob, Azure Data Factory, Azure Functions, Azure SQL. Azure Synapse Analytics, Azure Data Lake, ANSI-SQL, Databricks, HDInsight


Good to Have Skills: Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE