Supply Chain Digital and Data Analytics Specialist

Roles & Responsibilities

Work Your Magic with us

Ready to explore, break barriers, and discover more? We know you've got big plans – so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role

This role is vital in accelerating our Life Science's supply chain transformation efforts, from piloting deeper optimization scenarios to enabling global rollouts of proven pilots and supporting digital initiatives like Supply Chain Control Tower. Through proactive engagement with cross-functional teams and global distribution networks, your contributions will drive a more competitive, resilient, and future-proof E2E supply chain.

What You Do

• Drive and support a range of strategic digital and data analytics supply chain (SC) projects, with a focus on the Asia-Pacific (APAC) region and significant global outreach.
• Take ownership of designing, implementing, and optimizing key pilot projects, managing cross-functional teams, and ensuring that regional solutions are scalable globally.
• Leverage expertise in data analytics (including AI/ML), supply chain management tools, and coding (i.e., Python, Palantir Foundry), to build future-ready solutions that deliver efficiencies and capabilities across our Life Science's End-to-End (E2E) supply chain.
• Project Management & Execution: Lead optimization pilots, ensuring project timelines, deliverables, and stakeholder expectations are met.
• Analytics & Optimization: Use technical skills (data analytics, coding, and modeling) to tackle complex supply chain challenges; develop data-driven solutions to optimize and refine our Life Science supply chain metrics processes.
• Global Coordination: Collaborate closely with regional and global teams to ensure local/ regional solutions can scale globally, aligning APAC developments with the broader company strategy.
• Stakeholder Engagement: Partner with internal teams (e.g., Distribution, Commercial and DDIT Data, Digital) to define technical requirements, identify process improvements, and steer change effectively.
• Reporting & Communication: Provide regular updates to senior leadership and relevant stakeholders on project status, impact, and requirements.

Who You Are

• Bachelor's or master's degree in supply chain management, Data Analytics, Engineering, or a related field.
• 3 – 5 years of relevant experience in Digital and Data Analytics; Candidates with past Supply Chain, Operations, or Manufacturing related experience preferred.
• Proficiency in coding (e.g., Python) and advanced analytics, with experience in Palantir Foundry or similar platforms preferred.
• Familiarity with cloud platforms and scalable data architectures
• Proven success working cross-functionally, influencing diverse teams, and delivering on complex, global projects.
• Strong problem-solving approach and effective communication skills to engage stakeholders at multiple levels.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity

Tell employers what skills you have
Machine Learning
Palantir Foundry
Modeling
Analytical Abilities
Artificial Intelligence
Stakeholder Engagement
Python
Business Analytics
Communication Skills
Supply Chain Management
Python Programming
Data Analytics

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