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Master data analyst skills for your resume and career
15 master data analyst skills for your resume and career
1. Data Quality
- Resolve data quality issues including inaccurate, incomplete, missing or invalid data, outdated information and inconsistent data across systems.
- Communicate with internal & external customers to address issues and provide support on data quality and integrity improvements.
2. Customer Service
Customer service is the process of offering assistance to all the current and potential customers -- answering questions, fixing problems, and providing excellent service. The main goal of customer service is to build a strong relationship with the customers so that they keep coming back for more business.
- Ensured all data-entry was accurate and provided customer service.
- Provide excellent customer service to produce assistance beyond expectations.
3. Data Governance
Data governance is an assortment of cycles, jobs, arrangements, principles, and measurements that guarantee the successful and productive utilization of data in empowering an association to accomplish its objectives. Information administration characterizes who can make a what move, upon what information, in what circumstances, utilizing what strategies
- Created job descriptions, organizational structure, policies and procedures in conjunction with Corporate Master Data Governance and audit regulations.
- Enforced data governance standards and methodology ensuring quality and consistency of Master Data are met.
4. Data Analysis
- Business-oriented data analyst offering professional expertise in providing solutions for data analysis, coding, and variable information controls.
- Performed exploratory data analysis, visualized key observations with ggplot2 package.
5. Data Integrity
Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.
- Provided technical support for order administration and finance by identifying and resolving data integrity, business process issues.
- Ensured data integrity and verified all data modifications and calculations during database Data migration using ETL tools.
6. ERP
Enterprise Resource Planning (ERP) is computer software used by major corporations and organizations for conducting their management and accounting tasks efficiently. ERP systems bind different business processes with each other allowing smoother flow of data between them resulting in swift project assessment and completion.
- Managed customer relationship by providing internal support; communicated ERP standards and infrastructure by answering questions; resolving concerns and issues.
- Project management roles over developing EDM and ERP conversion and operating company acquisition projects.
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MDM stands for master management data. It pertains to the process of developing and organizing data on various aspects, such as customers, products, and businesses.
- Contribute with management and business teams to develop and implement documentation and operational guidelines designed to support MDM and business strategies.
- Project Name: Simplified Clinical Development MDM implementation
8. SQL
- Imported data from external sources, including but not limited to delimited or fixed input text files, excel, SQL.
- Performed Data cleansing, Standardization and Entity Resolution on a data set of 272,000 records using SAS DataFlux, SQL and Oyster
9. Data Standards
- Developed and implemented master data standards based on industry best practices.
- Document and publish data standards and procedures required to effectively manage the organization's master data within SAP.
10. Data Entry
Data entry means entering data into a company's system with the help of a keyboard. A person responsible for entering data may also be asked to verify the authenticity of the data being entered. A person doing data entry must pay great attention to tiny details.
- Managed Data Entry and Maintenance and performed troubleshooting.
- Prioritized and assigned workload for eight master data business analysts, including developing team metrics to track data entry progress.
11. Business Process
A business process is a group of tasks that are performed by people working in a business to attain a worthy product and to present it to their customers. A business process can also be defined as performing several steps to achieve a certain goal set by a company. Business processes need to set purposeful goals and the outcome of that goal should be clear.
- Identified and developed detailed business process procedures to support daily data management for New Products, Change Requests and Discontinuations.
- Identified inefficiencies within business processes; proposed appropriate solutions; evaluated new business requirements.
12. Troubleshoot
Troubleshooting is the process of analyzing and fixing any kind of problem in a system or a machine. Troubleshooting is the detailed yet quick search in the system for the main source of an issue and solving it.
- Analyzed information and troubleshoot problem areas with the appropriate departments and performed corrective action as necessary.
- Worked closely with the developers to troubleshoot many of the constantly occurring issues.
13. Process Improvement
- Develop and implement recommendations to increase efficiency and streamline processes through building a sustainable infrastructure, automation, and process improvement.
- Research and identify data mismatches; continuously develop and implement highly effective process improvements.
14. Business Rules
- Facilitate the delivery of required enterprise data definitions, business glossary and business rules for critical data entities and data attributes.
- Contributed in documenting Business Requirements, Business rules system requirements and functional requirements.
15. Data Accuracy
- Entered data into designated database and forms and responsible for data accuracy.
- Developed and conducted audits to ensure data accuracy and integrity.
5 Master Data Analyst resume examples
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What skills help Master Data Analysts find jobs?
Tell us what job you are looking for, we’ll show you what skills employers want.
What skills stand out on master data analyst resumes?
Dr. Todd Wittman Ph.D.
Associate Professor, The Citadel
Getting involved in a research project tells a prospective employer that you have done work beyond the classroom. It shows that you can tackle a difficult problem that does not have an answer in the back of the textbook. At most colleges and universities, faculty are eager to work with bright undergraduate students on projects. Students are often intimidated by their faculty, but it does not hurt to ask. It might result in an interesting research experience, internship, or even a lead on a job after graduation.
What soft skills should all master data analysts possess?
Jason Imbrogno Ph.D.
Associate Professor, University of North Alabama
What hard/technical skills are most important for master data analysts?
M. Douglas Berg
Associate Professor, Sam Houston State University
-Identify the data type
-Know which analytical techniques are appropriate for each data type
-Be capable of performing the appropriate analytical technique
-Be capable of communicating the outcome of the analytical procedure
A solid understanding of regression techniques, along with their limitations, is essential.
It almost goes without saying that a business analyst has good computer skills.
Beyond entry-level, with more experience, the analyst should be able to frame the research question(s) in a testable format.
What master data analyst skills would you recommend for someone trying to advance their career?
Pavel Chernyavskiy Ph.D.
Assistant Professor of Statistics, University of Wyoming
What type of skills will young master data analysts need?
Missy Gutkowski
Assistant Dean, Bucknell University
New employees should be prepared to communicate well and often, not only expressing expectations of what they need to complete their work but also to frequently updating supervisors and coworkers. Quickly learning the communication preferences and style of a supervisor and organization will set a new employee up for success in any industry.
List of master data analyst skills to add to your resume
The most important skills for a master data analyst resume and required skills for a master data analyst to have include:
- Data Quality
- Customer Service
- Data Governance
- Data Analysis
- Data Integrity
- ERP
- MDM
- SQL
- Data Standards
- Data Entry
- Business Process
- Troubleshoot
- Process Improvement
- Business Rules
- Data Accuracy
- SharePoint
- Profiling
- CPT
- Lifecycle Management
- User Acceptance
- BOM
- Data Migration
- Test Cases
- CRM
- Legacy Systems
- Cycle Management
- SAP ECC
- Informatica
- Shared Services
- Winshuttle
- EDI
- UAT
- Supply Chain Planning
- LSMW
- SOX
- QA
- SLA
- CDM
- Data Lake
- Customer Accounts
- Enterprise Data Management
- Oracle Sql
- Sap Functional
Updated January 8, 2025
