Master Data Manager Resume Example & Writing Guide
Use this Master Data Manager resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Master data management is a relatively new discipline within the realm of data science. Master data management is the process of defining, managing, and maintaining an organization’s most important data assets—its master data. It’s a data-driven approach to managing the customer, product, and location data that underpins most business processes. Master data management helps companies ensure that their systems are working as intended, that data is consistent across the organization, and that customer experiences are consistent across channels.
If you’re interested in working in an exciting, fast-paced environment where you get to use your data skills to help companies make smarter business decisions, then you might be ready to become a master data manager yourself! Here are some tips on how to write a great master data manager resume plus an example to look at when writing yours.
How to Write a Master Data Manager Resume
Here’s how to write a resume of your own.
Write Compelling Bullet Points
The bullet points are your first opportunity to make a strong impression on a recruiter or hiring manager. So it’s important to use them to showcase your experience and qualifications.
But rather than simply listing your responsibilities, you can use them to tell a story about your work. For example, rather than saying you “managed data for 10,000+ customers,” you could say you “managed data for 10,000+ customers, reducing customer data discrepancies by 50% in first six months through automated data audits and data quality checks.”
The second bullet point is much stronger because it provides more detail about what you did and the results of your work. It also provides a specific number to demonstrate the scale of the project.
Identify and Include Relevant Keywords
When you apply for a master data manager role, your resume will likely be scanned by an applicant tracking system (ATS) for certain keywords. ATS programs rank resumes against other candidates by searching for certain keywords that are relevant to the job opening. If your resume doesn’t include enough of the right keywords, your application might not make it past the initial screening process.
The best way to ensure that you have the right keywords on your resume is to read through a few job postings and take note of the terms that are used most frequently. Then, make sure to include those same terms in your resume. Here are some of the most common keywords for master data manager roles:
- Master Data Management (MDM)
- Data Governance
- Data Management
- Master Data Services
- Data Quality
- Data Modeling
- Business Intelligence (BI)
- Data Warehousing
- Data Integration
- Extract, Transform, Load (ETL)
- Business Analysis
- Software Development Life Cycle (SDLC)
- Data Migration
- SQL
- Requirements Analysis
- Analytics
- Data Quality Management
- Big Data
- Database Administration
- Change Management
- Visio
- Tableau
- Microsoft SQL Server
- Data Integration & Migration
- Business Process Improvement
- Business Intelligence Tools
- Vendor Management
- SQL Server Integration Services (SSIS)
- Business Process
- Customer Relationship Management (CRM)
Showcase Your Technical Skills
As a master data manager, you are responsible for managing and maintaining critical data for your organization. This data is used to make business decisions, so it’s essential that you are proficient in the use of data management software and systems. Additionally, you need to be able to effectively communicate with other members of the organization, as you will be responsible for coordinating data across different departments.
Some of the programs and systems that master data managers are typically expected to be proficient in include: data warehousing software, data mining software, data modeling software, and business intelligence software. Additionally, master data managers need to have a solid understanding of database management systems (DBMS) and data security concepts.