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Data Analysis and Simulation Professional 2 - Cary, NC

Job Description


Do you want to join us in helping to fight the world’s most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare.  For everyone. Everywhere.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting? Then come and join our global team as Data Analysis and Simulation Professional 2 to support the development of software solutions for Customer Service Managed Logistics in the Americas. 

Our global team: We are a team of 66,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world. As a leader in the industry, we aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture: We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world.  We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success. Check our Careers Site at https://www.siemens-healthineers.com/en-us/careers

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Data Analysis and Simulation Professional 2 you will be responsible for:

  • 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. 
This position may suit you best if you are familiar with what is below, and would like to do develop your career with Healthineers
  • Exploring the vast amounts of data available to you and create data model solutions that will enable advanced analysis.  These data models will also be the primary source data for front end applications such as dashboards and automated tools for business users.  Although data modeling is a key element in this position, you will have ample opportunity to explore advanced analytics and application development in support of other OI activities.

Required skills to have for the success of this role

  • Bachelor’s degree from an accredited college in one of the following:
    • Data Science, Analytics, Operations Research, Applied Mathematics, Statistics, Engineering, Computer Science, or other Data-focused degree
    • Business Administration, Operations, or Supply Chain with a concentration/minor in a subject from above
  • 0-2 years of professional experience as an Analyst, Data Modeler, Developer, or similar role
  • Capable of taking initiative and ownership of tasks
  • Willingness to learn new technology and analytical methods
  • Thorough understanding of relational database concepts
  • Demonstrated data manipulation experience through software tools or programming
  • Highly skilled in writing SQL queries or a comparable querying language
  • Highly skilled in the analysis of large amounts of disparate data
  • Ability to translate business needs into data models that support long-term solutions
  • Capable of examining/exploring data from multiple disparate sources and documenting data flows, entity relationships, data attributes, etc.
  • Ability to work well independently and as part of a team
  • Excellent communication and inter-personal skills
  • Creative and analytical problem-solving skills
  • Organization and time-management skills to be able to contribute to several projects simultaneously

Highly Qualified Candidates will have the Following:

  • Knowledge of supply chain operations and exposure to SAP data
  • 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
This role is located in Cary, North Carolina

Siemens Healthineers has recently announced the next steps in our continued commitment to prioritize colleague health, comply with customer/business partner requirements, and help preserve our business continuity.  Going forward, please be aware that Siemens Healthineers requires full COVID-19 vaccination for all new hires by their start date, except where prohibited by state law.  Accommodations may be requested for certain medical or religious reasons.  If you choose to submit an accommodation request it should be submitted within 3 business days of receiving a verbal offer.  Details on how to submit approval will be provided by your recruiter.  An accommodation approval must be confirmed prior to your start date.  A start date cannot be confirmed until the accommodation has been reviewed.  An accommodation is based on your role.  If you are a currently a Siemens Healthineers employee with an existing approved accommodation, it will need to be re-evaluated prior to starting a new role.

 

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.

 

Beware of Job Scams

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers Career Site.  

 

If you want to join us in transforming the way healthcare is delivered, visit our career site at https://usa.healthcare.siemens.com/careers.

 

If you wish to find out more about the specific before applying, please visit: https://usa.healthcare.siemens.com/about.

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


Organization: Siemens Healthineers

Company: Siemens Medical Solutions USA, Inc.

Experience Level: Early Professional

Job Type: Full-time



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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