QM Master Data Management

Teamware Solutions

Hyderabad

On-site

INR 500,000 - 900,000

Full time

46 hours ago
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Job summary

Teamware Solutions in Hyderabad, India seeks a Master Data Associate – Material, Production & Quality to ensure master data accuracy across SAP/S4HANA environments.

You will validate, enter, cleanse, and enrich Material Master data, collaborate with IT and operations, and support data governance and migration projects.

A STEM degree with 2–3 years SAP ECC experience is required; familiarity with MDG and S/4HANA is a plus; strong analytical skills expected.

Qualifications

  • Bachelor’s degree in STEM and 2–3 years in SAP ECC or data operations.
  • Hands-on SAP experience with master data management and data quality.
  • Strong Excel and MS Office data-analysis skills.
  • Attention to detail and ability to work with cross-functional teams.

Responsibilities

  • Perform data validation, entry, cleansing, and enrichment for Material Master in SAP/S4HANA.
  • Maintain accuracy, completeness, and consistency of master data across relevant views.
  • Collaborate with IT, operations, and business teams to resolve data-related issues.
  • Support data governance, data migration, and integration projects.

Skills

SAP
Quality MD
MS Excel
Data governance
Data analysis
Cross-functional
S/4HANA
MDG

Education

Bachelor’s degree in STEM

Tools

SAP ECC
S/4HANA
MDG

Job description

The Master Data Associate – Material, Production & Quality will support the

accuracy and consistency of master data across the organization. This role will perform data

validation, entry, cleansing, and enrichment while collaborating with teams to resolve issues and

ensure data integrity. The associate will support key performance monitoring, data governance,

and compliance efforts, as well as assist in data migration and integration projects. Candidates

should have a basic understanding of enterprise applications like SAP or Oracle, familiarity with

data quality and compliance standards, and strong analytical skills.

Perform handson creation, maintenance, and validation of Material Master, Production

elated master data in SAP/ S4HANA environments.

Ensure accuracy, completeness, and consistency of master data across relevant views

Execute correctness, and data cleanup activities as part of ongoing operations or

transformation initiatives

Support process optimization initiatives to improve data management workflows and

enhance efficiency

Collaborate cross-functionally with business, IT, and operations teams to resolve data-

related issues and ensure alignment with organizational goals.

Basic Qualifications and Experience:

Bachelor’s degree in a STEM discipline and 2-3 years of experience in SAP ECC,

master data management, data governance, or data operations, preferably in the

healthcare or biotech supply chains

Technical Proficiency: Experience in SAP, Microsoft Office (Excel, PowerPoint), and

other data management tools (e.g., MDG,S4 HANA).

Analytical Skills: Ability to analyze large datasets and deliver actionable insights.

Intellectual Curiosity: Driven to learn by asking questions, proactively learning the

business, and developing new skills.

Attention to Detail: High accuracy and attention to detail, with a strong focus on data

quality.

Communication: Excellent written and verbal communication skills, with the ability to

present findings to both technical and non-technical stakeholders.

Functional Skills:
Must-Have Skills:
  • Working knowledge of SAP.
  • Handson experience in Quality master data, Quality Inspection plan, Master Inspection characteristics (MIC’s), Reference operation set (RO’s).
  • Understanding of general master data management processes, frameworks, and governance.
  • Proficiency in Excel and MS Office Suite, with experience in data analysis
  • Basic understanding of data governance frameworks and ensuring data accuracy and quality.
  • Strong communication skills for presenting data insights to both technical and
Good-to-Have Skills:
  • SAP S/4, SAP MDG.
Soft Skills:
  • Good analytical and troubleshooting skills.
  • Strong verbal and written communication skills.
  • Ability to work effectively with global, virtual teams.
  • High degree of initiative and self-motivation, centered around data perfection
  • Team-oriented, with a focus on achieving team goals.
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