Data Governance Analyst

A Data Governance Analyst establishes and enforces data governance policies and procedures, ensuring data quality, compliance, and security, and driving data-driven decision-making across the organization.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Governance Analyst

Glassdoor
Market
National (USA)
Base Salary
$82,475 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Data Governance Analyst is $82,475 / year according to Glassdoor.com

There are no updated reports for Data Governance Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Data Governance Analyst role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Data Governance Analyst, you will be responsible for developing and implementing data governance strategies and policies for organizations. You will need a strong understanding of data governance principles and best practices, as well as experience with data management and compliance. Strong problem-solving and communication skills are essential, as you will be responsible for ensuring data integrity and privacy.

The average salary for Data Governance Analyst is $82,475 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Data Governance Analyst has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Data Governance Analyst is a crucial role in any organization that deals with large amounts of data. This role is responsible for ensuring that the organization's data is accurate, consistent, and up-to-date. The Data Governance Analyst works with business and technical teams to define and enforce data standards, policies, and procedures. They also work with data sources to ensure that data is properly collected, stored, and shared.

The most important skills for a Data Governance Analyst include:

  • Strong analytical and problem-solving skills: The Data Governance Analyst must be able to analyze large amounts of data and identify issues and trends. They must also be able to develop solutions to data-related problems.

  • Strong communication and collaboration skills: The Data Governance Analyst must be able to effectively communicate with business and technical teams to ensure that data standards and policies are understood and followed. They must also be able to collaborate with data sources to ensure that data is properly collected, stored, and shared.

  • Strong technical skills: The Data Governance Analyst must have a strong understanding of data architecture, data modeling, and data governance tools and technologies. They must also be able to use these tools to design and implement data solutions.

  • Strong business skills: The Data Governance Analyst must have a strong understanding of business processes and objectives. They must also be able to align data solutions with business needs and objectives.

The Data Governance Analyst's tasks include:

  • Defining and enforcing data standards, policies, and procedures: The Data Governance Analyst must work with business and technical teams to define and enforce data standards, policies, and procedures. This includes ensuring that data is properly collected, stored, and shared, and that it is accurate, consistent, and up-to-date.

  • Collaborating with data sources: The Data Governance Analyst must collaborate with data sources to ensure that data is properly collected, stored, and shared. This includes working with data sources to define and implement data collection processes, as well as working with data sources to ensure that data is accurate, consistent, and up-to-date.

  • Designing and implementing data solutions: The Data Governance Analyst must design and implement data solutions that align with business needs and objectives. This includes working with business and technical teams to define and implement data architecture, data modeling, and data governance tools and technologies.

  • Conducting data quality assessments: The Data Governance Analyst must conduct data quality assessments to ensure that data is accurate, consistent, and up-to-date. This includes working with business and technical teams to define and implement data quality standards, as well as conducting data quality audits to ensure that data is properly collected, stored, and shared.

  • Providing data governance training: The Data Governance Analyst must provide data governance training to business and technical teams to ensure that data standards and policies are understood and followed. This includes conducting training sessions, as well as providing documentation and resources to help teams understand and implement data governance best practices.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

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Databricks Certified Data Engineer Associate

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Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

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AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Regulation Strategy

Executive Program

Data: Law, Policy and Regulation

Executive Program

Privacy Engineer

Nanodegree

The Data Science Method

Course

Data Science for Business Leaders

Executive Program

AI for Business Leaders

Executive Program

Become a Data Architect

Become a Data Product Manager

Nanodegree

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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