Senior Analyst - Planning

Work Flexibility: Hybrid

Sr. Analyst - Planning

  
Drive and conduct full end to end supply chain processes analysis from Demand to Supply.  Data analysts will develop analysis and reporting capabilities. Drive standardization and consistent best practice methodologies and analytics for supply and inventory planning, including processes, tools, data / technology, etc.  Responsibility of developing the KPI calculation, reporting and then setting tracking and monitoring targets across the network.  Drive root cause analysis for supply chain issues in collaboration with the franchises and regions planning teams. 

What you will do:

• Responsible for the design/build and maintain the key processes to support the Global Net Requirements Plan (NRP) in collaboration with the regional commercial teams across all Stryker Franchises and divisions.
• Responsible to create and support the deployment of the critical NRP key performance metrics (KPI) and supporting dashboards.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality, Identify, analyze, and interpret trends or patterns in complex data sets.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Work with management to prioritize business information needs and define new process improvement opportunities.
• Responsible to conduct Root Cause Analysis on major Supply Chain issues (i.e. supply constraints and backorder, excess inventory, etc.).

What you will need:

• Bachelor's or master's degree in business/engineering/supply chain management with minimum of 2 years of experience in similar role.
• APICS accredited or professional supply chain accreditation preferred but not essential.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, PBI, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.