Supply Chain Analyst

The SME Supply Chain Analyst is responsible for analyzing and improving end‑to‑end supply chain processes including material planning, procurement, issue processes, and returns. The role involves deep data analysis, dashboard/report development, cross‑functional collaboration, and implementation of data‑driven solutions to support operational efficiency and performance.

• Identify inefficiencies across material planning, supply, issue, and returns workflows.
• Conduct root‑cause analysis and recommend process improvements.
• Develop models to enhance operational efficiency within budget guidelines.

• Build dashboards, KPI reports, and interactive visuals using Power BI/Tableau.
• Create and maintain datasets, data pipelines, and analytical tables.
• Track and evaluate results of implemented solutions.

• Partner with Line & Base Planning, Network Planning, Materials Planning, AOG, and Stores teams.
• Analyze operational workflows and propose efficiency improvements.
• Present insights and recommendations to supervisors and senior leadership.

• Write complex SQL queries and handle large data sets.
• Work within Azure, Databricks, and Data Lake environments.
• Manage analytical tasks using Agile/Scrum methodologies.
• Support teammates with data extraction, reporting, and analysis.

• Develop clear presentations summarizing findings and solutions.
• Provide user training and ensure smooth adoption of delivered tools.
• Maintain strong communication with stakeholders at all levels.

• Bachelor’s degree in Supply Chain, Business Analytics, Operations Research, or related field.
• 3+ years of relevant experience.
• Strong analytical and problem‑solving skills.
• Proficiency in SQL and data manipulation tools.
• Experience with Power BI and/or Tableau.
• Proficiency with Microsoft Office 365 (Excel, PowerPoint, Teams).
• Ability to work in a fast‑paced environment with shifting priorities.

• Experience in airline operations or supply chain analytics.
• Master’s degree in a related field.
• Knowledge of Azure, Databricks, Data Lake infrastructure.
• Strong project management and organizational skills.

• Excellent written and verbal communication.
• Strong attention to detail.
• Ability to manage multiple priorities.
• Skilled in cross‑team collaboration.