Job details
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
