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Data Governance Quality Analyst Jobs (NOW HIRING)

Jobtailor

NY · On-site

$90 - $120/hr

Data Quality Analysis, Data Warehousing, Business Systems Analysis, Data Governance, Quality Assurance, Data Testing, Business Process Validation, Insurance industry experience (P&C and/or Life ...

New

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Data Governance & Stewardship * Collaborate with data owners and business teams to define data ... Analysis & Reporting * Conduct data profiling and quality assessments on new and existing datasets.

Marmon

Data Governance Analyst

Carol Stream, IL · On-site

The Data Governance Analyst is responsible for managing and sustaining enterprise master data ... Data Governance & Quality Management * Distribute quarterly governance reporting to stakeholders ...

Weyerhaeuser

Data Governance Analyst

Seattle, WA · On-site

$82.53 - $123.80/hr

The Information Governance team's primary focus is to support the execution of Weyerhaeuser ... Data Quality, Analysis & ReportingAnalyze and support resolution of data quality issues ...

New

AFL

Data Governance Analyst

Duncan, SC · On-site

We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able ... Partner with data owners and stewards to ensure accountability for data quality, integrity, and ...

Weyerhauser Co

Data Governance Analyst

Seattle, WA · On-site

Data Quality, Analysis & Reporting * Analyze and support resolution of data quality issues ... Facilitate governance sessions and working meetings; capture decisions, risks, and actions that ...

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

As of Aug 21, 2026, the average hourly pay for data governance quality analyst in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

What does a data governance quality analyst do?

A Data Governance Quality Analyst is responsible for ensuring the accuracy, consistency, and security of data within an organization. They establish data quality standards, monitor compliance with data governance policies, and identify areas where data processes can be improved. Their work involves collaborating with various departments to implement data management best practices and resolve data-related issues. Ultimately, they help organizations make informed decisions by maintaining high-quality, reliable data.

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

To thrive as a Data Governance Quality Analyst, you need a solid understanding of data management principles, data quality frameworks, and familiarity with data governance policies, typically supported by a degree in information systems, computer science, or a related field. Proficiency with data quality tools (such as Informatica Data Quality, Collibra, or Talend), data profiling, and experience with SQL or other database systems are essential. Attention to detail, analytical thinking, and strong communication skills help analysts collaborate across departments and identify data quality issues effectively. These skills ensure the integrity, consistency, and compliance of organizational data, supporting reliable business decision-making and regulatory requirements.

How does a data governance quality analyst typically collaborate with other departments to ensure data quality standards are met?

A Data Governance Quality Analyst works closely with teams across the organization, such as IT, business units, and compliance, to establish and maintain data quality standards. They facilitate regular meetings to review data processes, address discrepancies, and implement corrective actions when issues arise. Effective communication and documentation are essential, as the analyst must translate technical data requirements into actionable guidelines for non-technical stakeholders. This collaborative approach helps ensure that all departments consistently adhere to data governance policies, leading to improved data reliability and regulatory compliance.

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

AspectData Governance Quality AnalystData Analyst
Required SkillsData quality management, governance policies, complianceData analysis, visualization, reporting
Work EnvironmentCorporate, compliance-focused teamsBusiness units, analytics teams
CertificationsData governance, data quality certificationsData analysis, BI tools certifications

The Data Governance Quality Analyst primarily focuses on ensuring data quality, compliance, and governance policies within organizations. In contrast, a Data Analyst concentrates on analyzing data to generate insights and support decision-making. While both roles require strong data skills, the Governance Quality Analyst emphasizes data standards and policies, whereas the Data Analyst emphasizes data interpretation and visualization.

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Data Governance Quality Analyst jobs near you
Infographic showing various Data Governance Quality Analyst job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

Data Governance Lead

Inspire Medical Systems Inc.

Minneapolis, MN

Full-time

Posted 17 days ago

Job description

  • The Data Governance Lead will build and mature Inspire's enterprise data governance program, establishing the policies, processes, and stewardship practices that ensure data is trusted, governed, and fit for business and regulatory use.

    This role partners closely with business leaders, data owners, data stewards, data engineering and analytics teams to improve data quality, master data, and governance adoption across the organization. The Data Governance Lead will help embed governance principles into data products and engineering processes.

    We are looking for a collaborative, business-oriented data governance leader who can help scale governance practices and AI readiness across Inspire's modern data ecosystem while enabling trusted data products, regulatory readiness, and measurable business outcomes.

    Key Responsibilities

    • Build and mature Inspire's enterprise data governance program, operating model, and stewardship framework.
    • Establish and maintain governance standards, policies, and best practices for data ownership, quality, metadata, lineage, security, data products, and lifecycle management.
    • Partner with business stakeholders to establish data ownership, stewardship responsibilities, governance processes, and critical data elements that ensure accountability for enterprise data assets.
    • Partner with business leaders to define and align organizational KPIs and performance measures that improve visibility into strategic priorities, operational performance, and business outcomes.
    • Serve as the governance representative in technical discussions, providing leadership and guidance on data modeling, metadata, lineage, master data, data quality, and trusted data product design ensuring alignment with governance, quality, and stewardship standards.
    • Lead metadata management, data catalog, lineage, master data, and stewardship initiatives across the enterprise.
    • Facilitate governance councils, stewardship forums, and cross-functional working sessions.
    • Drive adoption of governance practices across business and technology teams through education, engagement, and measurable outcomes.
    • Promote the creation of trusted, well-documented, and reusable data products that support reporting, analytics, decision-making, and emerging AI capabilities.
    • Partner with business leaders, Quality, Privacy, Legal, Regulatory, and Information Security teams to ensure data governance practices support regulatory compliance while enabling business outcomes.
    • Measure and communicate governance program maturity, adoption, and business value.

    Required Qualifications

    • 5+ years of experience in data governance, data management, master data management, data quality, analytics, or a related discipline.
    • Experience building or maturing an enterprise data governance program.
    • Ability to engage effectively with architects, engineers, and analytics teams on topics including data modeling, data integration, data quality, metadata, lineage, master data management, and data product design.
    • Strong ability to influence and drive changes across business and technology organizations.
    • Excellent communication, facilitation, and stakeholder management skills.
    • Strong organizational, analytical, and problem-solving skills with the ability to manage competing priorities in a dynamic, results-oriented environment.
    • Commitment to continuous improvement, practical problem solving, and advancing data governance maturity across the organization.

    Preferred Qualifications

    • Experience with modern Microsoft and Azure data platforms, including Profisee, Purview, Databricks, and Unity Catalog.
    • Experience in a regulated industry such as medical devices, healthcare, life sciences, or other compliance-focused environments.
    • Experience partnering with data engineering and analytics teams to operationalize governance practices.
    • Familiarity with data cataloging, Lakehouse architecture, Medallion architecture, and trusted data products.
    • Experience serving as a business, governance, or product lead for enterprise data platforms and governance technologies.
    • Experience coordinating work with offshore, contractor, or managed services resources.
    • Experience presenting data concepts, risks, metrics, and recommendations to executive stakeholders.
     

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