Fulfillment Analyst

The Fulfillment Operations Analyst is crucial in overseeing North American supplier manufacturing from a supply chain and logistics perspective. This position demands strategic thinking, effective leadership, and the capability to manage multiple issues simultaneously across various plants and suppliers.

Responsibilities

As a Fulfillment Operations Analyst you will:

• Work with the Ascent and Pega tools.
• Protect daily and weekly schedules by being responsive to plant needs, supporting existing operating plans and schedules without needing remix or incurring production losses.
• Act as a change agent to find efficiencies in current state operations, allowing the new tools to expand the horizon for evaluating supply risks.
• Seek and mitigate premium costs through continuous improvement, finding cost-efficient means to support established production schedules.
• Lead initiatives to reduce premium costs in collaboration with the MP&L Logistics organization.
• Provide communication on risk dimensions as needed to escalate to leadership and report on issues with solutions or need for assistance.
• Work cross-functionally with other internal teams including Purchasing, Supplier Technical Assistance (STA), Supplier Operations Team (SOT), Product Development, and plants.
• Manage critical suppliers and ensure accountability to Ford supplier expectations and Global Terms.

Qualifications

You will have:

• A bachelor's degree.
• Prior experience in a manufacturing or supply chain organization.
• Knowledge of or experience in Ford with production planning and execution.
• A proven track record in supply chain operations.
• Well-versed with MS Office Tools (Excel, PowerPoint, etc.).
• A bias for action in identifying and solving issues.

Even better, you may have:

• Strong data analytical skills to gather data from multiple sources to identify root causes, trends & insights and recommend operational improvements on Supplier Delivery Performance.
• Strong storytelling capabilities with data to enable data-driven decision-making.
• Strong knowledge of Ford MP&L systems like CMMS, Super G, GCP, MCPV, etc.
• Knowledge of Alteryx or similar data analysis tools.
• Knowledge of SAP.