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Senior Data Quality Analyst Jobs (NOW HIRING)

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 ...

CEDENT

Sr Data Analyst

$40 - $60/hr

Data QA Analyst -100% Remote (EST Hours) The client is looking for a Data QA Analyst to join the ... tools. Sr. Data QA Analyst Must Have Skills: • Experience with, and understanding of ...

Samprasoft

Senior Data Analyst/Modeler

Reston, VA · On-site

$89K - $112K/yr

Senior Data Analyst/Modeler Hiring Manager Notes: * Needs to be able to perform the source to ... Analyze and assess the quality and integrity of the data * Develop and implement data collection ...

VAST Data

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Conduct peer review of code, analysis, and reports to ensure accuracy and quality * Data Extraction ... Ability to influence senior leaders and drive cross-functional alignment. Requirements * Education:

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data ...

ICF

Senior Data Analyst (Databricks) - Remote USA

Reston, VA · On-site +1

$89K - $112K/yr

We are seeking a Senior Data Analyst (Databricks) to join our growing team, supporting mission ... Validate data quality, data integrity, data transformations, business rules, reports, dashboards ...

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Senior Data Quality Analyst information

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How much do senior data quality analyst jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for senior data quality analyst in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

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

AspectSenior Data Quality AnalystData Analyst
Required CredentialsBachelor's degree, certifications in data quality or data management (e.g., CDMP)Bachelor's degree, often in statistics, mathematics, or related fields
Work EnvironmentFocus on data quality, validation, and governance within data teamsData interpretation, reporting, and visualization across departments
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcareCommon across various industries for business insights

The Senior Data Quality Analyst specializes in ensuring data accuracy, integrity, and compliance, often working closely with data governance teams. In contrast, a Data Analyst focuses on analyzing data to generate reports and support decision-making. While both roles require strong analytical skills, the Senior Data Quality Analyst emphasizes data quality management, making it more technical and compliance-oriented.

What are the key skills and qualifications needed to thrive as a Senior Data Quality Analyst, and why are they important?

To thrive as a Senior Data Quality Analyst, you need strong analytical skills, deep knowledge of data management principles, and experience with data profiling and cleansing, often supported by a degree in computer science or a related field. Familiarity with data quality tools (such as Informatica, Talend, or IBM InfoSphere), SQL, and data governance frameworks is typically required, along with relevant certifications like CDMP. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure data integrity, support business decision-making, and drive organizational success through reliable information management.

What does a Senior Data Quality Analyst do?

A Senior Data Quality Analyst is responsible for ensuring the accuracy, integrity, and consistency of data within an organization. They design and implement data quality processes, perform data profiling and cleansing, and identify data quality issues. Additionally, they collaborate with other teams to establish data standards, develop metrics, and recommend improvements to data management practices. Their work helps businesses make informed decisions based on reliable and high-quality data.

How does a Senior Data Quality Analyst typically collaborate with other departments to ensure data integrity?

As a Senior Data Quality Analyst, you will regularly work with cross-functional teams such as data engineering, business intelligence, and operations to identify, investigate, and resolve data quality issues. This involves attending meetings to understand data requirements, communicating data discrepancies, and establishing data validation protocols. Building strong relationships with stakeholders is crucial to proactively address potential data concerns and implement best practices. Effective collaboration ensures that data standards are consistently met and that business decisions are based on reliable information.

What Does a Senior Data Quality Analyst Do?

As a senior data quality analyst, your job is to monitor complex databases of information and identify valuable insights that are useful for making business decisions. Your duties include performing data monitoring, verifying the integrity of the database, and implementing error detection to find any potential issues. You typically use a variety of technologies to perform your duties and may be responsible for leading a team of data quality analysts at larger organizations. As a senior member of the group, you may also present your findings to the Board of Directors, various executives, or individual managers.

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Senior Data Quality Analyst jobs near you
Infographic showing various Senior Data Quality Analyst job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 5% As Needed, 62% Full Time, 5% Part Time, 3% Temporary, and 23% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.
Data Quality Analyst

Data Quality Analyst

The Select Group

Tukwila, WA • On-site, Remote

Full-time

PTO

Posted 22 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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