MP&L Analyst

• Support the Regional MP&L team (USA, Canada, Mexico) with data analysis, reporting, and cross-functional coordination
• Prepare, structure, and interpret data to enable informed decision-making across Transportation, Packaging, Inventory, and Customs
• Report directly to the Team Manager, Regional MP&L

Key Responsibilities

• Analyze and consolidate operational data from Transportation, Packaging, Inventory, and Customs
• Prepare structured datasets in Excel (including Power Query / Power BI tools) to support business decisions
• Develop recurring and ad‑hoc reports for performance monitoring across MP&L functions
• Monitor key operational KPIs and identify variances, trends, and improvement opportunities
• Combine and link data sources from different domains to create a unified analytical view
• Support Customs data analysis, including classification trends, duty impact, and compliance metrics
• Contribute to improving data accuracy, completeness, and compliance across all MP&L reporting streams
• Assist with the creation of dashboards, templates, and standard formats for recurring analytics
• Provide timely insights and recommendations to improve logistics efficiency and cost performance

Required Skills & Qualifications

• Strong analytical mindset with the ability to work with large datasets
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Experience with Power Query, Power BI, or similar data transformation tools
• Ability to combine, merge, and reconcile data from multiple sources
• Familiarity with logistics, supply chain, or customs-related data (preferred)
• Excellent attention to detail and structured working style
• Ability to communicate insights clearly in both written and visual formats
• Bachelor’s degree or college degree in Supply Chain, Business, Data Analytics, or a related field

Preferred Experience

• Initial work experience or internship in supply chain, logistics, or data analytics
• Knowledge of transportation, packaging, inventory processes, or customs documentation
• Experience working in an international or multi‑regional environment

Personal Attributes

• High level of curiosity and motivation to explore and understand complex data
• Proactive and self-driven individual with a continuous improvement mindset
• Strong problem-solving skills and ability to work independently with minimal supervision
• Organized, reliable, and comfortable working with deadlines
• Team player with strong interpersonal communication skills