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Data Governance Analyst Jobs in Raleigh, NC (NOW HIRING)

CAPTRUST

Data Quality Analyst

Raleigh, NC · On-site

This Analyst will partner with teams across the firm to define, monitor, track, and enforce data ... Promote data quality best practices, support governance alignment (definitions, metadata, lineage ...

CAPTRUST

Data Quality Analyst

Raleigh, NC · On-site

This Analyst will partner with teams across the firm to define, monitor, track, and enforce data ... Promote data quality best practices, support governance alignment (definitions, metadata, lineage ...

Teamwass

Project Manager, Data Strategy

Raleigh, NC · On-site

$50.25 - $68/hr

... governance judgment to keep those initiatives compliant and well-managed. This role will work with ... Conduct landscape and options analysis to inform build-vs-buy and tooling decisions from a business ...

Teklead Corp

Business Analyst II

Cary, NC · On-site

$40 - $45/hr

Analyze and report on the effectiveness of the data governance tool/function, measuring its contribution to accelerating time-to-insight and building data trust. * Track data quality and integrity ...

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All JobsData Governance Analyst JobsData Governance Analyst Jobs in Raleigh, NC

Data Governance Analyst information

See Raleigh, NC salary details

$20

$53

$83

How much do data governance analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data governance analyst in Raleigh, NC is $53.25, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $65.19 per hour, depending on experience, location, and employer.

Is data governance a good career?

Data governance is a growing field that involves establishing policies and standards to manage data quality, security, and compliance. It offers opportunities for roles such as Data Governance Analyst, requiring skills in data management tools and understanding regulatory requirements, making it a stable and in-demand career choice.

What is a data governance analyst?

A data governance analyst helps an organization maintain best practices regarding information security, integrity, and access. In this role, your duties are to come up with the appropriate protocols for keeping data, develop tools and methods for a business to oversee its data, and provide management with recommendations about how to best govern the use of and access to the information. Qualifications for this career include a bachelor’s degree in computer science or information systems, job experience with shared data and database languages such as SQL, skills such as analytical problem-solving, and a strong commitment to the ethical use of data.

How does a data governance analyst typically collaborate with other departments to ensure data quality and compliance?

A Data Governance Analyst regularly works with teams such as IT, legal, compliance, and business units to develop and enforce data management policies. This collaboration often involves coordinating data quality assessments, facilitating data stewardship programs, and ensuring that data handling adheres to relevant regulations and organizational standards. Analysts may lead cross-functional meetings, provide training on data governance best practices, and act as a liaison to resolve data-related issues. Effective communication and relationship-building are key to ensuring that all stakeholders are aligned on data quality and compliance goals.

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

AspectData Governance AnalystData Quality Analyst
CertificationsCDMP, DAMA certifications often preferredCDMP, Six Sigma, or data quality certifications common
Work EnvironmentFocus on policies, compliance, and data standardsFocus on data accuracy, validation, and issue resolution
Industry UsageUsed across finance, healthcare, and tech sectorsCommon in finance, retail, and healthcare industries
Search & Comparison IntentUnderstanding governance roles and responsibilitiesFocusing on data accuracy and quality improvement

While both roles involve working with data, a Data Governance Analyst primarily manages data policies, standards, and compliance, ensuring data is properly governed across the organization. In contrast, a Data Quality Analyst concentrates on assessing and improving the accuracy and integrity of data. Both roles often require similar certifications and are vital in data-driven industries, but they focus on different aspects of data management.

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

To thrive as a Data Governance Analyst, you need a solid understanding of data management principles, data quality frameworks, and regulatory compliance, often supported by a bachelor's degree in information systems, computer science, or a related field. Familiarity with data governance tools (like Collibra or Informatica), data cataloging systems, and knowledge of relevant data privacy regulations (such as GDPR or CCPA) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across departments and enforce data policies. These abilities are crucial for ensuring data integrity, minimizing risk, and supporting informed decision-making within organizations.

What is a data governance analyst?

A Data Governance Analyst is a professional responsible for developing, implementing, and maintaining policies and procedures that ensure the accuracy, security, and proper usage of data within an organization. They work to ensure compliance with data-related regulations and standards, facilitate data quality initiatives, and help stakeholders understand their roles in data management. Data Governance Analysts often collaborate with IT, compliance, and business teams to establish data ownership, lineage, and stewardship. Their work is crucial in supporting data-driven decision-making and minimizing risks associated with data misuse.
More about Data Governance Analyst jobs
What are popular job titles related to Data Governance Analyst jobs in Raleigh, NC? For Data Governance Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Governance Analyst jobs in Raleigh, NC look for? The top searched job categories for Data Governance Analyst jobs in Raleigh, NC are:
Data Governance Analyst jobs near you
Infographic showing various Data Governance Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,752 per year, or $53.2 per hour.

Manufacturing Data Product Analyst

Deep Digital Solutions Group

Raleigh, NC • On-site

Full-time

Posted 28 days ago

Job description

At Deep DSG, we help global manufacturers unlock the full value of their operational data through modern industrial architecture, connected systems, and advanced analytics.
As we continue to expand our Data Enablement capabilities, we are seeking a Manufacturing Data Product Analyst to support the development and delivery of industrial data solutions that drive smarter, more connected manufacturing operations.
This role will focus on the design, configuration, and implementation of industrial data products, data pipelines, and integration solutions. Working closely with Data Enablement Leads, OT engineers, IT teams, and manufacturing stakeholders, you will help transform operational requirements into scalable data solutions that improve visibility, decision-making, and enterprise connectivity.
This is an excellent opportunity for someone with a strong technical foundation in manufacturing systems, industrial data platforms, and system integration who is looking to further develop their expertise in modern industrial data architectures, including Unified Namespace (UNS), DataOps, MQTT, and enterprise data platforms.
Requirements
  • Support the design, development, and deployment of Unified Namespace (UNS), Industrial DataOps, and industrial data solutions.
  • Assist in translating manufacturing and business requirements into scalable data models and integration architectures.
  • Develop, configure, and maintain industrial data products that support manufacturing, quality, maintenance, and business intelligence initiatives.
  • Design and support data pipelines that connect plant-floor systems with enterprise applications and analytics platforms.
  • Implement data transformation, contextualization, validation, and governance processes.
  • Configure and support industrial data brokers, messaging infrastructure, historians, and integration platforms.
  • Collaborate with Data Enablement Leads, manufacturing teams, OT engineers, IT personnel, and implementation partners on project delivery.
  • Contribute to the development and adoption of technical standards, best practices, and data governance frameworks.
  • Support testing, deployment, troubleshooting, and continuous improvement activities across Data Enablement initiatives.
  • Stay informed on emerging technologies and industry best practices within industrial data management and smart manufacturing.

  • Experience working with manufacturing systems, industrial automation, or industrial data solutions.
  • Knowledge of industrial data architectures, data modelling, and system integration principles.
  • Familiarity with Unified Namespace (UNS), Industrial DataOps, MQTT, or similar industrial data frameworks.
  • Experience developing or supporting data pipelines, data integration, or industrial software solutions.
  • Exposure to platforms such as HighByte Intelligence Hub, HiveMQ, AVEVA PI System (OSIsoft PI), or comparable technologies.
  • Understanding of manufacturing operations and OT/IT environments.
  • Familiarity with industrial middleware, historians, and enterprise integration platforms.
  • Strong analytical and problem-solving skills with the ability to work through technical challenges independently and as part of a team.
  • Excellent communication and collaboration skills.
  • Degree in Engineering, Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.

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