Data Analyst

Responsibilities:

• Partner closely with the Inventory Function team to understand their business problem and opportunities and translate them into analytical solutions.
• Develop and document clear plans to bring analytical solutions from concept to reality.
• Evaluate the end-to-end supply chain to determine the optimal positioning of inventory – i.e., finished goods, in-process, raw material, supplier inventory, supplier’s supplier inventory, etc. Quantify inventory buckets throughout the chain.
• Well-experienced in working on Scenario planning and working with Demand and supply teams to update the possible inventory risks.
• Experience with inventory consumption tools, replenishment qty, EOQ, and safety stocks on consigned stocks of suppliers.
• Execute actions to optimize inventory based on current capabilities, EOQ, and actions to improve underlying contributors to inventory.
• Develop data infrastructure to enable timely business performance insights
• Translate data into actionable insights to help supply chain leaders to make strategic decisions that improve efficiency and/or the customer experience.
• Support overall COE enhancement and production support strategies with key business functions.
• Evaluate the end-to-end supply chain to determine the optimal positioning of inventory – i.e., finished goods, in-process, raw material, supplier inventory, supplier’s supplier inventory, etc. Quantify inventory buckets throughout the chain.
• Experience with inventory consumption tools, replenishment qty, EOQ, and safety stocks on consigned stocks of suppliers.
• Execute actions to optimize inventory based on current capabilities, EOQ, and actions to improve underlying contributors to inventory.
• Oversee the entire lifecycle of supply chain processes and must help in enhancing performance by reducing inefficiencies in inventory.
• Help in optimizing the supply chain inventory from end-to-end distribution.

Knowledge & Skills:

• Strong communication skills across all levels of the organization.
• Ability to drive a cross-functional internal team through the change management process.

Scope & Impact:

• Collaborates with peers, junior data scientists and engineers, SMEs, and external and internal research and product development partners.
• Typically partners with high-level Individual Contributors, Managers, and Program Core Teams.
• Supports projects requiring data science engineering.

Education & Experience:

• Bachelor’s Degree in Engineering or equivalent with supply chain certification is preferred. Recommended to have statistical analytics knowledge.
• Minimum 3-5 years experience in inventory management and providing analytical reporting and business insight
• Minimum 2 years of experience with data visualization tools such as PowerBI and MIS reporting to management.