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

The Select Group

Data Quality Analyst

Tukwila, WA · On-site

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

F5, Inc.

Data Quality Analyst II

Seattle, WA · On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

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

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How much do data quality analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data quality analyst in Seattle, WA is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $68.70 per hour, depending on experience, location, and employer.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

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

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

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

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What are the most commonly searched types of Data Quality Analyst jobs in Seattle, WA?

The most popular types of Data Quality Analyst jobs in Seattle, WA are:

What are popular job titles related to Data Quality Analyst jobs in Seattle, WA?

For Data Quality Analyst jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Quality Analyst jobs in Seattle, WA look for?

The top searched job categories for Data Quality Analyst jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Quality Analyst jobs?

Cities near Seattle, WA with the most Data Quality Analyst job openings:

Data Quality Analyst jobs near you
Infographic showing various Data Quality Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $114,710 per year, or $55.1 per hour.

Data Quality Analyst

The Select Group

Tukwila, WA • On-site

Other

PTO

Re-posted 7 days ago

Job description

Data Governance & Quality Consultant
Seattle, WA / Remote
We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services environment. This role requires a hands-on expert capable of navigating complex data ecosystems and collaborating with executive leadership and technical teams to deliver operational excellence.
Core Responsibilities
  • Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency.
  • Framework Development: Design and implement robust data quality standards, governance best practices, and regulatory compliance protocols.
  • Cross-Functional Advisory: Partner with IT and business stakeholders to architect scalable data strategies and resolve high-priority data quality issues.
  • Insights & Reporting: Synthesize complex datasets into actionable dashboards and executive-level briefings.
Technical Expertise
  • Alteryx: Advanced workflow automation, blending, and metadata management (Designer/Server/Connect).
  • Informatica IDMC: End-to-end integration mapping, PDO for ELT, and cloud source integration (AWS S3/Snowflake).
  • Snowflake: Architecture optimization, secure data sharing, and complex SQL development.
  • Databricks: Large-scale processing via Delta Lake, Apache Spark, and cloud-native integrations.
  • ETL/ELT: Design and management of robust migration pipelines and high-performance transformation strategies.
Qualifications
  • Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.
  • Education: Bachelor's degree in CS, Data Science, or a related technical field.
  • Soft Skills: Exceptional problem-solving abilities and the communication style required for stakeholder management.

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