Data Analysis and Simulation Professional

Siemens HealthineersCary, NC
2d$97,527 - $124,920Hybrid

About The Position

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. 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.

Requirements

  • 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.
  • 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.
  • 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

Responsibilities

  • Supporting the development of automation, data visualization, and other innovative software solutions
  • Automate routine cognitive tasks
  • Solve complex business problems using a wide variety of datasets
  • Identifying opportunities to integrate analytics into supply chain operations at both the tactical and strategic level
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