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

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 ...

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 ...

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 ...

... Analyst Location: Durham, NC Duration: 10+ months Contract/possibility for conversions: Potential ... Data Integration, Modeling & Governance • Define backend data requirements with Data Engineering ...

Data Engineer

Durham, NC · On-site

$103.70K - $124.60K/yr

Develop efficient data models in Snowflake to support analytics and reporting. * Optimize queries and transformations for performance and cost efficiency. Data Management Governance * Ensure data ...

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 ...

Data Strategy-Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

... governance practices - Analyze complex data sets to identify growth opportunities and insights - Implement recommended practices in data management and analytics - Guide teams through challenges ...

This includes driving data governance and consistency across systems, enabling effective audience ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

This includes driving data governance and consistency across systems, enabling effective audience ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

... governance and data security practices - Demonstrating analytical, problem-solving, and communication skills - Having the ability to work independently and as part of a team in a fast-paced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... data governance and data security policies, and collaborating with business stakeholders to ...

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Data Governance Analyst information

See Raleigh, NC salary details

$20

$53

$83

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.

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 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:
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

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • 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 own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.