Master Data Management Analyst; Details | Nestle Operational Services SA

Position: Master Data Management Analyst (Remote) Job Details | Nestle Operational Services Worldwide SA
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life, Nature's Bounty, Vital Proteins, Orgain, Nuun, BOOST, Carnation Breakfast Essentials, Peptamen, Compleat Organic Blends, and more.

We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.

At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way.

We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.

Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.

Position Summary:

The Master Data Management (MDM) team at Nestle Health Science (NHS) creates and maintains material and customer master data while advancing data quality through consistent standards, disciplined execution, and support for data governance processes. Because this data underpins business operations and analysis across functions, timeliness, accuracy, integrity, and adherence to global data principles are essential.

The Analyst, Master Data supports these objectives by following established guidelines and global standards, serving as a data steward, and educating users on data policies, procedures, and standards. This role partners with stakeholders and data owners across Supply Chain, CTAG, Finance, Sales, and Marketing to ensure data is executed accurately and on time in SAP, enabling seamless downstream system performance and business processes.

Key Responsibilities:

* Translate strategic business decisions into material and customer master data in SAP GLOBE throughout the master data lifecycle.

* Validate business decisions through defined stage-gate and change control processes before initiating master data setup or changes.

* Review business input against defined data standards and partner with data owners to resolve incomplete, duplicate, or low-quality data before system execution.

* Apply internal data standards, including the Data Dictionary and data hierarchy structure, as well as relevant industry standards such as the Global Data Synchronization Network (GDSN).

* Coordinate master data requirements and deliverables for projects.

* Collaborate cross-functionally with stakeholders across the business.

* Respond to stakeholder questions and challenges related to master data elements.

* Assess the end-to-end, cross-process impact of data changes initiated by business units and ensure alignment with established change control procedures.

Experience and

Education Requirements:

* College degree preferred but not required.

* Experience working in an integrated ERP environment, preferably SAP, with an understanding of related data dependencies.

* 1+ years of experience in master data stewardship.

* General understanding of Master Data Management principles, system solutions, and data integration preferred.

* Business acumen and understanding of key operational processes to assess the downstream impact of master data.

* Experience in Consumer Packaged Goods (CPG) operations is a plus.

Skills:

* Strong analytical and problem-solving skills to identify data issues and develop effective solutions across people, process, and technology.

* Research, error detection, root cause analysis, and error correction capabilities.

* Strong service orientation and attention to detail.

* Foundational knowledge of Data Governance, Data Stewardship, and Data Quality best…