Supply Chain Business Analytics

Work Flexibility: Hybrid

• Must be able to drive different analytics initiatives in close collaboration with the business leaders

  
  
  

• Must be able to develop mathematical/analytical models for resolving complex business problems

  
  
  

• Good knowledge around Supply chain business concepts like Inventory, Shipments, procurement, order fulfilment, etc. and related challenges

  
  
  

• Good knowledge around supplier management, business compliance, Value engineering data study and recommendations

  
  
  

• Must be able to develop Machine learning models using Python, R and consume these models predictions in various BI, UI platforms

  
  
  

• Ability to find patterns in data using statistical algorithms and recommend business improvement Insights

  
  
  

• Should be fully adept on process mapping and lead six sigma tools to provide the process realignment support prior to analytics solutioning

  
  
  

• Must be able to create dashboards/applications using Power Apps, Power BI, ADF, MS-Access and advanced excel

  
  
  

• Must be able to design & develop custom report and provide inferential analysis

  
  
  

• Must have working knowledge on Azure data engineering tools e.g. Databricks, Azure data factory, Synapse Analytics, Logic Apps etc.

  
  
  

• Must have a good understanding on supply chain basics and provide support in solutioning for a given supply chain problem statement

  
  
  

• Should be able to pick up new tools and technologies, e.g. Python, ML, Azure data factories etc.

  
  
  

• Exposure of Azure Dev Ops/JIRA for Agile project management

  
  
  

• Must be fully qualified and have delivered analytical solutions using Business Intelligence (BI) tools, R, Python, SQL Coding, Java Coding, data crunching, advanced Excel modelling, VBA coding & macro writing

  
  
  

• Build new tools in close collaboration with the business SMEs and ensure a successful deployment

  
  
  

• Project/Program management of analytics projects with ADO

  
  
  

• Lead and Own an Analytics area and ensure product adoption for the respective area

  
  
  

• Must be able to identify key business metrics (Financial & Operational) and populate them on regular basis

  
  
  

• Must be able to communicate with different stakeholders at various levels within Stryker for collating the monthly KPI reporting data

  
  
  

• Should be able to deliver the analytics trainings across organization on different tools like powerBI, excel, MS Access etc. to steer an analytics driven culture