How To Become A Master Data Analyst: What It Is and Career Path

What is a master data analyst and how to become one

Updated January 8, 2025

3 min read

Quoted expert

Joseph Byrum

A master data analyst collects, processes, and performs statistical analyses on a large dataset. They discover how data can be used to answer questions and solve problems. With the development of computers and an ever-increasing move toward technological intertwinement, data analysis has evolved.

Master data analysts don't need to have advanced coding skills but should have experience with analytics software, data visualization software, and data management programs. More importantly, analysts need to be effective communicators because they are supporting teams with varying degrees of technical understanding.

Educational requirements include a bachelor's degree in a relevant field such as finance, economics, mathematics, statistics, and computer sciences, among others. Seven or more years of experience in data analysis or computer programming and experience working with industry standards, regulations, and guidelines in database warehousing and other relevant systems can prove beneficial.

The average salary for a master data analyst is $37.70 an hour, which amounts to over $78,000 a year. The career is expected to grow 9% in the coming years.

What general advice would you give to a master data analyst?

Joseph Byrum

Chief Data Scientist, Principal

The next revolution will happen when every aspect of a business, from top to bottom, is designed with AI and OR in mind. Call this new construct the intelligent enterprise. A joint cognitive system view is the first step in creating the intelligent enterprise - a large, complex organization with global distribution of its resources and processes run by people who make consistently excellent adaptations to rapid changes in the world. They also share the execution of these rapid adaptations seamlessly across the entire organization without loss of consistency and coherence.

ScoreMaster Data AnalystUS Average

Salary

6.6

Avg. Salary $83,970

Avg. Salary $59,228

Stability level

5.3

Growth rate 9%

Growth rate 0.3%

Diversity

5.5

Race

American Indian and Alaska Native 0.19%

Asian 14.55%

Black or African American 10.31%

Hispanic or Latino 11.07%

Unknown 5.01%

White 58.87%

Gender

female 55.54%

male 44.46%

Age - 42

Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 42

Stress level

5.3

Stress level is manageable

7.1 - high

Complexity level

8.3

Complexity level is challenging

7 - challenging

Work life balance

4.8

Work life balance is fair

6.4 - fair

Key steps to become a master data analyst

Explore master data analyst education requirements

Most common master data analyst degrees

Bachelor's

65.9 %

Associate

13.9 %

Master's

13.5 %

Start to develop specific master data analyst skills

Skills	Percentages
Data Quality	11.12%
Customer Service	9.24%
Data Governance	8.39%
Data Analysis	6.62%
Data Integrity	5.38%

Complete relevant master data analyst training and internships

Accountants spend an average of 6-12 months on post-employment, on-the-job training. New master data analysts learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as a master data analyst based on U.S. Bureau of Labor Statistics data and data from real master data analyst resumes.

Research master data analyst duties and responsibilities

Manage SharePoint document repository for project implementation.
Manage customer relationship by providing internal support; communicate ERP standards and infrastructure by answering questions; resolving concerns and issues.
Document all issues within the Microsoft CRM and Salesforce management systems.
Ensure data accuracy and standardization when researching and loading product and order information into Lawson ERP materials management system.

Prepare your master data analyst resume

When your background is strong enough, you can start writing your master data analyst resume.

You can use Zippia's AI resume builder to make the resume writing process easier while also making sure that you include key information that hiring managers expect to see on a master data analyst resume. You'll find resume tips and examples of skills, responsibilities, and summaries, all provided by Zippi, your career sidekick.

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