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Data Analysis and Simulation Professional

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: Siemens Healthineers AG
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 97527 - 124920 USD Yearly USD 97527.00 124920.00 YEAR
Job Description & How to Apply Below
Data Analysis and Simulation Professional page is loaded## Data Analysis and Simulation Profession allocations:
CYA GRtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 28, 2026 (30+ days left to apply) job requisition :
R-26371

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
** Company:
** Siemens Medical Solutions USA, Inc.
*
* Location:

** 209 Gregson Drive, Cary, NC 27511
*
* Position Title:

** Data Analysis and Simulation Professional
** Salary:**                    $97,527- $124,920 / year
*
* Hours:

** Monday – Friday, 9:00 am to 5pm
** Summary of Duties:
** Supporting the development of automation, data visualization, and other innovative software solutions for Customer Service Managed Logistics Americas (CS ML AM). Applying technical skills to automate routine cognitive tasks and solve complex business problems using a wide variety of datasets generated by CS ML AM. Joining the Operational Intelligence (OI) team and help identifying opportunities to integrate analytics into supply chain operations at both the tactical and strategic level.

Hybrid work.
*
* Qualifications:

** The position requires a Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Business Analytics, Industrial Engineering or a related field and three (3) years of experience in the job offered or an acceptable alternate occupation. Will alternatively accept an Master’s degree or foreign equivalent in Computer Science, Data Science, Business Analytics, Industrial Engineering or a related field and one (1) year of experience in the job offered or an acceptable alternate occupation.

The position requires experience in the following:
Knowledge of supply chain operations and exposure to ERP or CRM system data (e.g. SAP or Salesforce);
Experience developing automation tools with scripting (e.g., VB, Python, PHP);

Experience with the Snowflake Data Cloud and/or Databricks;
Experience creating dashboards with Microsoft Power BI;
Understanding of machine learning techniques as applicable to predictive analytics.
** Who we are**:
We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
** How we work:
** When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare.

For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page .
** Equal Employment Opportunity Statement:
** Siemens Healthineers 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.
** EEO is the Law:
** Applicants and employees are…
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