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Remote Gdsn information

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$21

$39

$61

How much do remote gdsn jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote gdsn in the United States is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $42.31 per hour, depending on experience, location, and employer.

What is a Remote GDSN Specialist?

A Remote GDSN Specialist is a professional who manages and maintains product data within the Global Data Synchronization Network (GDSN) from a remote location. They ensure that product information is accurate, up-to-date, and synchronized across various trading partners, retailers, and suppliers. Their work helps companies comply with global data standards and streamline supply chain operations by leveraging the GDSN system to share and receive product data efficiently.

What is the difference between Remote Gdsn vs Remote Clinical Research Associate?

AspectRemote GdsnRemote Clinical Research Associate
Required CredentialsBachelor's degree, relevant certificationsBachelor's degree, clinical research certifications often preferred
Work EnvironmentRemote, data management, regulatory tasksRemote or on-site, monitoring clinical sites
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsPharmaceutical companies, CROs, research institutions
Common Search & ComparisonYesYes

Remote Gdsn and Remote Clinical Research Associate roles share similar credentials and industry usage, but Gdsn focuses more on data management and regulatory tasks, while CRA emphasizes site monitoring and patient interaction. Both roles are vital in clinical trials and often overlap in remote settings.

How does a Remote GDSN Specialist typically collaborate with other teams to ensure accurate and timely data synchronization?

A Remote GDSN Specialist frequently works with cross-functional teams, including product management, IT, and supply chain, to coordinate the exchange and synchronization of product data across the Global Data Synchronization Network. Collaboration often involves regular virtual meetings, managing data quality issues, and aligning data standards with trading partners. Effective communication and attention to detail are crucial, as the specialist must troubleshoot discrepancies and ensure compliance with global data requirements, all while working remotely.

What are the key skills and qualifications needed to thrive as a Remote GDSN (Global Data Synchronization Network) Specialist, and why are they important?

To excel as a Remote GDSN Specialist, you need strong data management skills, knowledge of product information standards, and experience with GDSN protocols, typically supported by relevant experience or certifications in supply chain or data management. Proficiency with GDSN data pools, data synchronization tools, and systems like 1WorldSync or GS1 is highly valuable. Attention to detail, effective communication, and problem-solving abilities are crucial soft skills for collaborating with partners and ensuring data accuracy. These competencies are essential for maintaining reliable product data exchange and supporting efficient supply chain operations.
What are the most commonly searched types of Gdsn jobs? The most popular types of Gdsn jobs are:
What states have the most Remote Gdsn jobs? States with the most job openings for Remote Gdsn jobs include:
Infographic showing various Remote Gdsn job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 75% Physical, 19% Hybrid, and 6% Remote job distribution, with an average salary of $82,973 per year, or $39.9 per hour.

Master Data Management Analyst (Remote)

Nestlé Health Science

Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Nestlé Health Science rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

89th of 380 rated food and drinks producers


Job description

Job Summary:
Nestlé Health Science is committed to merging nutrition, science, and wellness to empower healthier lives. The Master Data Management Analyst will support the creation and maintenance of material and customer master data, ensuring data quality and governance across various business functions.
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.
Qualifications:
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.
• 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.
• 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.
• Proficiency in Microsoft Office products, especially Excel and Access.
Preferred:
• College degree preferred but not required.
• General understanding of Master Data Management principles, system solutions, and data integration preferred.
• Foundational knowledge of Data Governance, Data Stewardship, and Data Quality best practices preferred.
Company:
Nestlé Health Science is a company that uses nutrition to help people manage their health. It is a sub-organization of Nestle. Founded in 2011, the company is headquartered in Vevey, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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