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

Argyle Infotech

Senior Data Analyst

Smithfield, NC · On-site

$74.50K - $94K/yr

Support data governance efforts to ensure data integrity and compliance. Required Qualifications: * Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related ...

Cynet Systems

Learning Analytics Analyst

Durham, NC · On-site

Identify data gaps and support data governance initiatives. Support the development of standardized KPIs and performance metrics. Analyze data to drive improvements in training programs and readiness ...

AceStack LLC

Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Implement data governance, security, and compliance standards * Apply data protection measures such ... Collaborate with data scientists, analysts, and cross-functional teams Required Skills & Experience

Kasmo Global

Data Architect

Durham, NC · On-site

$57.75 - $74.25/hr

This position will be implementing best practices for data governance, security, and compliance to ensure regulatory requirements are met. Responsibilities and Duties: * Analyze, map, build, test ...

Towne Family of Companies

Data Engineer

Raleigh, NC · On-site

$111.30K - $133.70K/yr

... data governance, access control, and catalog management. * Power BI and Semantic Modeling: Familiarity with Power BI development, DAX, or semantic modeling for analytics consumption. * AI/BI ...

Towne Bank

Data Engineer

Raleigh, NC

$111.30K - $133.70K/yr

... data governance, access control, and catalog management. * Power BI and Semantic Modeling: Familiarity with Power BI development, DAX, or semantic modeling for analytics consumption. * AI/BI ...

TowneBank

Data Engineer

Raleigh, NC · On-site

$111.30K - $133.70K/yr

... data governance, access control, and catalog management. * Power BI and Semantic Modeling: Familiarity with Power BI development, DAX, or semantic modeling for analytics consumption. * AI/BI ...

JConnect Infotech

Data Engineer

Raleigh, NC · Remote

$111.30K - $133.70K/yr

... governance methodologies meeting data compliance requirements. • Experience building automated ... Maintain data protection protocols • Performance Optimization and Troubleshooting - Analyze and ...

Omni Inclusive

Palantir Data Engineer

Cary, NC · On-site

$116.70K - $140.10K/yr

... and analysis. The ideal candidate will have experience with Palantir's platforms, a strong ... Implement robust data governance and lineage mechanisms within the Palantir ecosystem. Maintenance ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Knowledge of data governance, data quality, and privacy best practices. * Prior experience in EV Charging, consumer behavior, technical quality analytics. What Success Looks Like in This Role * You ...

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$53

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How much do data governance analyst jobs pay per hour?

As of May 28, 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.

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.

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.

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.

Is a data analyst dead in 10 years?

A data analyst role is expected to evolve rather than disappear in the next decade, as organizations continue to rely on data-driven decision-making. Skills in data visualization, SQL, and statistical analysis will remain valuable, though automation and advanced analytics tools may change the job's focus. Continuous learning and adapting to new technologies will be important for long-term career viability.

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.

More about Data Governance Analyst jobs
What are the most commonly searched types of Data Governance Analyst jobs in Raleigh, NC? The most popular types of Data Governance Analyst jobs in Raleigh, NC are:
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 May 2026, with employment types broken down into 2% Internship, 6% As Needed, 67% Full Time, 19% Part Time, and 6% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $110,752 per year, or $53.2 per hour.

Senior Data Analyst

Argyle Infotech

Smithfield, NC • On-site

$74.50K - $94K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Analyst

We are seeking a skilled Senior Data Analyst to enhance our data infrastructure, improve data quality and relevance, and support strategic decision-making across sales, marketing, and analytics. This role requires strong technical expertise in working with relational databases, data warehouses, and modern data platforms such as Snowflake. The ideal candidate will be experienced in reverse engineering existing systems, documenting, building and optimizing ETL workflows, and leveraging third-party data sources to deliver actionable insights.

Key Responsibilities:

  • Enhance and maintain enterprise data infrastructure to ensure high availability, scalability, and performance.
  • Improve data quality, relevance, and trust through data pact creation, validation, and monitoring.
  • Design and implement robust data pipelines and ETL workflows for ingestion and transformation of internal and third-party data sources.
  • Collaborate with business units (sales, marketing, analytics) to identify data needs and deliver impactful insights.
  • Utilize third-party data to enrich existing datasets and improve decision-making.
  • Conduct reverse engineering of existing systems to document and optimize data flows and data structures architecture to support modernization and optimization efforts.
  • Support data governance efforts to ensure data integrity and compliance.

Required Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field.
  • 10+ years of experience as a Data Analyst or in a similar data-focused role.
  • Strong experience with relational databases and data warehousing concepts (RDBMS, Oracle, Snowflake).
  • Proficiency in SQL based data solutions.
  • Hands-on experience with ETL tools and designing automated data pipelines.
  • Ability to reverse engineer legacy systems and document technical workflows.
  • Strong understanding of system design principles for analytical and operational data systems.
  • Experience with data quality frameworks and working with third-party data sources.

Preferred Qualifications:

  • Familiarity with data orchestration tools (e.g., Airflow, Control-M, etc.).
  • Experience supporting data for customer intelligence, marketing automation, or sales enablement platforms.
  • Working knowledge of Python or similar scripting languages for data manipulation.
  • Strong communication and cross-functional collaboration skills.

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