At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
**Job Function: **
Data Analytics & Computational Sciences
**Job Sub Function: **
Business Intelligence
Job Category:
Professional
All Job Posting Locations:
Schaffhausen, Switzerland
Job Description:
**About Innovative Medicine **
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Purpose:
The Supply Chain strategy is critical to building a best‑in‑class organization. As the team strengthens fact‑based management through greater transparency and analytics, we must align our people, resources, and capabilities to evolving business and customer needs.
The IMSC MDM Operations team provides trusted data to support product launch and supply. Key responsibilities include governing and maintaining the Master Data Operations Framework; ensuring a compliant, regulated data environment; improving quality, timeliness, cost, and effort through automation, process improvement, and partners; applying end‑to‑end supply chain expertise; and developing talent.
This role supports day‑to‑day master data operations, solving moderately complex problems in line with established policies and procedures.
This position may require up to 5% of domestic and international (US) travel.
As an Analyst Data Operations you will:
Be responsible for the timely, efficient and accurate coordination, creation and maintenance of various master data elements (e.g. Material Master, BOM/Recipes, Production Versions,etc.) in SAP/ECC directly and/or through automated workflow system(s) and the execution of impact analyses or feasibility studies of change requests so that material planning, production, release, finance or other processes can proceed optimally.
Execute the data operations and data quality process. May include coordination of testing, error handling, data conversion and/or validation, and audit/compliance actions (Non-Conformance (NC) and/or Corrective Action Preventive Action (CAPA)).
Engage with partners on tactical matters. Provide tactical guidance and knowledge transfer to third-party team(s) and serve as point of escalation.
Participate in the completion of projects and departmental goals by tactically focusing on business outcomes. Execute tools and processes that improve master data management operations execution.
Collaborate on the preparation of metrics, dashboards, and tracking to facilitate the efficient operations of the department.
Participate in, and sometimes lead, operational and governance meetings including end-to-end, value capture, and third-party reviews.
Collaborate to create and maintain documentation for area of responsibility. May include Standard Operating Procedures (SOPs), Work Instructions (WIs), protocols, data quality catalogs, and other policy and procedure documents. Deliver training to educate partners on detailed procedures, data flows, etc.
Recommend creative solutions and participate in exploring refinement and implementation of those solutions.
Support the deployment of the Data Management Framework
Qualifications/Requirements:
Bachelor’s Degree or equivalent experience.
2+ years of relevant professional business experience is required.
Strong experience, preferably within the health care or FMCG industry.
- data processing systems (e.g. SAP required, OMP+ preferred)
- procedures & Tools for processing and managing Master Data
Basic Business and/or technical knowledge and understanding of Supply Chain data elements, process, and organizational support models is preferred
Ability to build strong collaborative relationships, influence others within job area through explanation of facts, policies and practices
Ability to contribute on a diverse, multicultural and remote team.
English fluently required, local language skills strongly preferred
MS Office Suite (Excel, Outlook, Word).
At Johnson & Johnson, we want every candidate to feel supported throughout the hiring process. Our goal is to make the experience clear, fair, and respectful of your time.
Here’s what you can expect:
- **Application review: **We’ll carefully review your CV to see how your skills and experience align with the role.
- **Getting to know you: **If there’s a good match, you’ll be invited to a short call with one of our recruitment team to understand more about you and answer any questions that you might have.
- **Staying informed: **We know waiting can be hard and processes can evolve; our recruitment team will keep you updated and make sure you know what to expect at each step.
- **Final steps: **For successful candidates, you will need to complete country-specific checks before starting your new role. We will help guide you through these.
Finally, at the end of the process, we’ll invite you to share feedback in a short survey — your input helps us continue improving the experience for future candidates. Thank you for considering a career with Johnson & Johnson. We’re excited to learn more about you and wish you the best of luck in the process! #RPOEMEA
#LI-Hybrid
**Required Skills: **
Preferred Skills:
Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Data Analysis, Data Capturing, Data-Driven Decision Making, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Execution Focus, Process Oriented, Project Support, Requirements Analysis, Statistical Analysis Systems (SAS) Programming, Workflow Analysis