Supply Chain Management Data Analytics Internship

Job Description

Now’s our time to inspire the future of healthcare together.

At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably.  A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services – as well as further technologies in the growing market for therapeutic and molecular diagnostics.

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence, they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. Join our team now at Siemens Healthineers as a Supply Chain Management Data Analytics Intern.

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Supply Chain Management Data Analytics Intern, you will be responsible for:

  • Coordinating, supporting, and communicating SCM Data Analytics project status (BI Reporting Projects in Qlik Sense, Machine Learning, ….).
  • Daily tasks include: Collaborating with SCM Data Analytics team, gathering and documenting business requirements, and support communication of project status via Azure DevOps
  • Coordinating SCM Data Analytics workshops and meetings

This position may suit you best if you are familiar with what is below, and would like to do develop your career with Healthineers

  • Problem solver with an analytical mindset
  • Exposed to dealing with databases and organization of information
  • Familiar and demonstrated understanding of SQL and experience with relational SQL and nonSQL databases.
  • Knowledge of IT systems, ERPs (SAP) data architecture and Business Intelligence (BI) tools for data analytics and visualization such as Power BI, Qlik, Tableau, etc.

Required skills to have for the success of this role

  • Rising seniors (current juniors) and master level students pursuing a degree in Supply Chain Operations and/ or Data Science/Analytics
  • Must have a minimum GPA of 3.2 or higher
  • Must feel comfortable working in a fully virtual environment and be east coast based
  • Must be available to work full-time in the summer (up to 40 hours/week) and part-time (up to 20 hours/week) during the academic year
  • Permanent work authorization candidates will be considered
  • You proficient in MS Office software like Word, PowerPoint, Excel and Outlook
  • Understand basics of data management, data cleansing and visualization techniques
  • Strong communication, and presentation skills.

Start date: July 2021; 3-6 month duration.

At Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose:  To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services. We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally.

If you want to join us in transforming the way healthcare is delivered, visit our career site at

If you wish to find out more about the specific before applying, please visit:

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

Organization: Siemens Healthineers

Company: Siemens Healthcare Diagnostics Inc.

Experience Level: Student (Not Yet Graduated)

Job Type: Full-Time temporary

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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