Data Governance Analyst Resume Example & Writing Guide

Use this Data Governance Analyst resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

As a data governance analyst, you’ll help an organization develop and implement policies and procedures for handling data across the enterprise. You’ll also help establish standards for data storage and security, as well as define how data should be accessed and shared across departments or between organizations.

Data governance is important because it ensures that data is secure and accessible—and that it can be trusted as an accurate representation of reality. Data governance analysts often work closely with business intelligence analysts, database administrators, and other members of an organization’s IT department to create useful reports, identify trends, and make predictions based on data.

Here are some tips and an example to help you write a great data governance analyst resume that hiring managers will love.

Mary Thompson
Los Angeles, CA | (123) 456-7891 | [email protected]

Data-driven governance analyst with over five years of experience in data management and analysis. Proven ability to develop and implement data governance framework, streamline data processes, and improve data quality. Excels at collaborating with cross-functional teams to deliver value to the business.

Golden Gate University Jun '10
M.S. in Information Technology
San Francisco State University Jun '06
B.S. in Business Administration
Company A, Data Governance Analyst Jan '17 – Current
  • Developed and implemented data governance processes to ensure the integrity of all data used by the organization, including master data management (MDM) solutions for customer information.
  • Provided subject matter expertise on data quality issues related to business processes and systems impacting multiple lines of business.
  • Managed a team of analysts responsible for ensuring that all critical applications are in compliance with corporate policies and procedures regarding data usage, access control, etc.
  • Assisted with development of new or revised application requirements documents as well as testing plans for new or modified software releases before deployment across the enterprise.
  • Participated in project teams throughout the lifecycle from initiation through implementation to closeout to ensure adherence to established standards and best practices.
Company B, Data Governance Analyst Jan '12 – Dec '16
  • Created a Data Quality Scorecard to track the progress of data quality initiatives and identify areas for improvement
  • Conducted regular audits on all master data, including customer information, product specifications and vendor details
  • Spearheaded an initiative to standardize naming conventions across business units, resulting in improved consistency
  • Collaborated with stakeholders from different departments to develop a comprehensive enterprise data strategy
  • Developed a process that enabled more efficient access to critical customer information
Company C, Data Analyst Jan '09 – Dec '11
  • Utilized SQL, Excel, and Tableau to analyze large data sets and draw conclusions from the data.
  • Presented findings to upper management in order to help make business decisions.
  • Wrote and maintained detailed documentation of all analysis performed.
  • Certified Information Privacy Professional (CIPP/US)
  • Certified in Data Management (CDMP)
  • Certified Data Analyst (CDA)

Industry Knowledge: Data Modeling, Data Warehousing, Data Quality
Technical Skills: ETL, SQL, SSIS, SSAS, SSRS, Data Vault, Data Masking, Hadoop, Oracle, Teradata
Soft Skills: Communication, Teamwork, Leadership, Problem-Solving, Critical Thinking

How to Write a Data Governance Analyst Resume

Here’s how to write a resume of your own.

Write Compelling Bullet Points

When you’re writing bullet points, it can be tempting to simply list your responsibilities. But that’s not enough to make a strong impression. Instead, you should use your bullet points to demonstrate how you contributed to the organization and what you achieved.

For example, rather than saying you “analyzed data to identify trends and make recommendations,” you could say you “analyzed data to identify $1M in cost savings by identifying trends in usage patterns and recommending new software solutions.”

The second bullet point is much stronger because it provides more detail about what you did and the results of your work.

Identify and Include Relevant Keywords

When you submit your resume for a data governance analyst role, it’s likely that it will be scanned by an applicant tracking system (ATS) for certain keywords. This system looks for specific terms related to the job, like “data analysis” or “enterprise architecture.” If your resume doesn’t have enough of the right keywords, the ATS might not forward it to a recruiter.

To increase your chances of getting noticed, use this list of keywords as a starting point and then add, remove, and rearrange them to fit the specific requirements of the job you’re applying for.

  • Data Governance
  • Extract, Transform, Load (ETL)
  • Data Quality
  • Tableau
  • Data Analytics
  • SQL
  • Data Management
  • Data Analysis
  • Data Warehousing
  • Master Data Management
  • Business Analysis
  • Databases
  • Requirements Analysis
  • Data Modeling
  • Business Intelligence (BI)
  • Data Governance Implementation
  • Data Governance Framework
  • Oracle Database
  • Data Quality Tools
  • Analytical Skills
  • Requirements Gathering
  • Data Governance Standards
  • Data Governance Process
  • Stakeholder Management
  • Agile Methodologies
  • Business Process Improvement
  • Microsoft Access
  • Unix
  • Software Development Life Cycle (SDLC)
  • SQL Server Integration Services (SSIS)

Showcase Your Technical Skills

As a data governance analyst, you will be responsible for ensuring that an organization’s data is accurate, consistent, and compliant with all relevant regulations. To do this, you will need to be proficient in the use of data governance tools and systems. Additionally, you should have a solid understanding of data mining, data modeling, and data analysis.

Some of the most commonly used data governance tools and systems include:

– Data discovery tools: These tools help you identify and track data across an organization.

– Data quality management tools: These tools help you ensure that data is accurate and consistent.

– Data security and compliance tools: These tools help you protect data and ensure that it is compliant with all relevant regulations.

If you have experience with any of these tools or systems, be sure to list them on your resume.


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