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Data Analyst Jobs in Seattle, WA (NOW HIRING)

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Data Analyst - PLM Implementation Location: Redmond, WA (Hybrid) Work Schedule: Hybrid Pay Rate: $55-$60 per hour Job Type: 1-year (Contract) Position Overview We are seeking a Data Analyst to ...

Data Analyst Location : Redmond, WA Duration:- Long Term Contract, Extension Likely Mode of Interview : Telephone / Skype * Strong Experience in Data Analyst, SQL, Power BI, Tabular Cube, Excel.

Data Analyst

Redmond, WA · On-site

$113K - $187K/yr

In the Customer Service & Support (CSS) team, we are looking for a Data Analyst with a passion for delivering data-driven insights that enable better business decisions. In this role, you will design ...

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

SUMMARY OF POSITION The Data Analyst - Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and ...

Data Analyst

Everett, WA · On-site

$90K - $130K/yr

The Data Analyst role exists to make our data trustworthy. magniX operates across multiple systems -- ERP, program management, and financial planning tools -- and this analyst will be the person who ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Data Analyst with Marketing or Reporting Data experience Location : Redmond, WA Duration : 18 Months Contract This data analyst role will evaluate sales and performance of various products in ...

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel Skills (beyond just vlookups and pivot tables) â knows how to aggregate data sources and make data ...

Data Analyst Location: Redmond, WA Duration: 6 Months + Responsibilities: * Data Analyst for the team that owns the A/B experimentation platform * Interacting with decision makers from around the ...

Fraud Data Analyst

Seattle, WA · Hybrid

$129K - $145K/yr

Under the supervision of the Director, Analytics, the Fraud Data Analyst will apply advanced data analytics and statistical methodologies to detect fraud risks, evaluate product performance, and ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

Insurance Data Analyst

Seattle, WA · On-site

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is bright for the Porch Group, and we'd love for you to be a part of it as our Insurance Data Analyst.

Sr Data Analyst

Seattle, WA · Hybrid

$97K - $123K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading ...

New

How  You 'll  Contribute The Revenue Operations Data Analyst is responsible for turning raw data into trusted, actionable insight that powers reporting, campaigns, and decision-making across the ...

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Showing results 1-20

Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Seattle, WA? The most popular types of Data Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Analyst jobs? Cities near Seattle, WA with the most Data Analyst job openings:
Infographic showing various Data 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Data Analyst

WilsonCTS

Redmond, WA • Hybrid

$55 - $60/hr

Contractor

Re-posted 23 days ago


Job description

Job Title: Data Analyst - PLM Implementation

Location: Redmond, WA (Hybrid)

Work Schedule: Hybrid

Pay Rate: $55-$60 per hour

Job Type: 1-year (Contract)

Position Overview

We are seeking a Data Analyst to support a large-scale Product Lifecycle Management (PLM) implementation initiative. This role will be responsible for collecting, validating, analyzing, cleansing, and transforming product data to support successful migration and implementation activities within a new PLM environment.

The successful candidate will work closely with business stakeholders, IT teams, and project leads to ensure data accuracy, integrity, and readiness for multiple data migration cycles. This position requires strong analytical capabilities, attention to detail, and the ability to work independently while supporting cross-functional teams.

Key Responsibilities

  • Data Analysis & Validation
  • Support project and workstream leads responsible for Bills of Material (BOMs), Parts, and associated documentation.
  • Analyze, validate, and verify data for multiple migration and data load activities.
  • Ensure data accuracy, integrity, and consistency across PLM and ERP systems.
  • Identify data quality issues and support remediation efforts.
  • Pull, analyze, and interpret data to support informed business decisions.

Data Migration & Cleanup

  • Support data cleansing initiatives for PLM and ERP systems.
  • Collaborate with business users and IT teams to execute data corrections and mass updates.
  • Assist in defining data transformation requirements between legacy and future-state systems.
  • Validate migrated data to ensure successful implementation outcomes.

Reporting & Insights

  • Develop reports, dashboards, and visualizations using Excel, Power BI, Tableau, or similar tools.
  • Analyze trends, patterns, and business insights from large datasets.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.
  • Support reporting automation and process improvement initiatives.

Documentation & Process Support

  • Develop and maintain documentation control methodologies supporting PLM processes.
  • Create, review, and update work instructions and process documentation.
  • Support process standardization and governance activities.
  • Assist with user support, reporting requests, and data-related inquiries.

Required Qualifications

  • Bachelor's degree required.
  • 1-3 years of experience in a Data Analyst, Business Analyst, or related role.
  • Strong experience with data analysis and reporting.
  • Advanced Microsoft Excel skills.
  • Experience working with SQL for data extraction and analysis.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to work independently and manage multiple priorities.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management abilities.

Preferred Qualifications

  • Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Experience supporting PLM implementations or PLM environments.
  • Experience with Windchill or similar Product Lifecycle Management platforms.
  • Experience working with ERP systems.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Knowledge of data migration, validation, and cleansing methodologies.
  • Experience supporting enterprise transformation or system implementation projects.

Ideal Candidate

The ideal candidate is highly analytical, detail-oriented, and comfortable working with large datasets in a fast-paced project environment. They possess strong communication skills, are proactive in identifying data quality issues, and can effectively collaborate with business and technical teams to support a successful PLM implementation.