
Job Title : SCM Analytics Leader - Proven Experience in Supply chain domain
About:
- Proven experience in Spend Analytics.
- Acts as a coach to solve problems in solutioning and delivery.
- Deep knowledge in AI and Agentic AI.
- Strong consulting mindset with domain expertise.
- Excellent communication skills.
- Ability to evaluate current offerings and suggest improvements.
- Supports sales cycle by providing expert insights and recommendations.
Job Profile: Supply Chain Analytics across the value chain
Responsibilities:
- Has worked in the Supply Chain Analytics space with hands on experience in area of Demand Planning/Supply Planning/Inventory Management/Logistics/ Spend
Analytics and Reporting:
- Clearly understands the following areas with hands on work on at least 2-3 areas, incl but not limited to, Sales and Operation Planning, Forecasting, Demand planning, Capacity Planning, Inventory management, Supply Planning, Logistics, Spend and Procurement
- Design Supply Chin Analytical solutions
- Define KPIs and metrics and develop BI solutions and reports
- Participate in client meetings, workshops and understand supply chain situation/issues
- Worked on Digital Transformation (data strategy incl orchestration, Governance, Architecture, BI to build reporting/insights/analytics factory)
- Has a mix of modeling & programming experience & led analytics solutioning and delivery
- Having experience in modeling work for solving core business issues using forecasting, predictive modeling, Machine learning / python / R will be an added advantage.
- Visualization tools: Good to have exposure to BI application
- Ability to learn different analytical tools as per business requirement
- Good knowledge on various statistical forecasting and inventory optimization techniques
- Design Supply Chain Analytical solutions
- Define KPIs and metrics and develop BI solutions
- Handle large datasets
- Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques and generate actionable insights
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