Lead the development and implementation of Supply Chain data strategies, including the design and construction of complex data structures to enable optimal data utilization and analytics scalability
Job Summary
Lead the development and implementation of Supply Chain data strategies, including the design and construction of complex data structures to enable optimal data utilization and analytics scalability.
Manage the deployment of tactical, financial, and operational analytics solutions, ensuring effective technical data delivery for projects and successful implementation of data-driven initiatives.
Collaborate with cross-functional teams to identify improvement opportunities and lead process improvement initiatives that enhance efficiency, reliability, and performance across the supply chain.
Matching Summary
Lead the development and implementation of Supply Chain data strategies, including the design and construction of complex data structures to enable optimal data utilization and analytics scalability.
Skills & Requirements
Must-have
Supply Chain data strategies
complex data structures
reporting and analytics solutions
statistical methods and data visualization
advanced analytics techniques
time-series analysis, deep learning, or image recognition
predictive models
Excel (advanced charts and analysis)
Power BI or similar visualization tools
complex database queries (e.g., Oracle SQL)
data extraction / ETL processes
Descriptive Statistics, Variability, Correlation, Probability, Regression, and Normal Distribution
Lean and Six Sigma methodologies
Computer science skills to write code
Supply Chain Management (Service Parts)
ERP systems
Process improvement and operational excellence
Business acumen
Logistics operations
Materials management
Demand forecasting
translate ambiguous business problems
data visualization and storytelling capability
Nice-to-have
guidance and shares knowledge
assistance or training sessions
cross-functional teams
senior management collaboration
IT and data engineering teams
talent selection, performance management, career development
eagerness to learn new tools, techniques, and supply chain domains
Key Requirements
Bachelor’s or Master’s degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, or equivalent.
10+ years of experience independently handling Supply Chain Analytics.