Data Analyst, Supply Chain (Hybrid)

Job Description

The Data Analyst, Supply Chain is responsible for supporting data analytics, reporting, dashboard development, and business insights across the end-to-end Supply Chain organization. This role serves as a key partner to Supply Chain stakeholders by transforming complex data into actionable insights that improve operational performance, support decision-making, and drive continuous improvement initiatives.

The position supports analytics and reporting requirements across Procure-to-Pay (P2P), Demand Planning, Order Management, Logistics, Inventory Management, Supplier Management, and broader Supply Chain functions. The ideal candidate is a self-starter with strong analytical capabilities, intellectual curiosity, and a passion for solving business challenges through data.

Key Responsibilities:

Data Analytics & Reporting

• Develop, maintain, and enhance reports, dashboards, scorecards, and KPI tracking tools for Supply Chain operations.
• Analyze large datasets to identify trends, opportunities, risks, and process improvement recommendations.
• Generate recurring and ad hoc reports that provide meaningful insights to business stakeholders.
• Ensure data accuracy, integrity, and consistency across reporting platforms.

Business Intelligence & Insights

• Translate business requirements into analytical solutions that support operational and strategic decision-making.
• Conduct root cause analyses and provide data-driven recommendations to improve performance and outcomes.
• Monitor key Supply Chain performance metrics and proactively identify anomalies or emerging trends.
• Support data storytelling by presenting insights in a clear and actionable manner.

Supply Chain Functional Support

• Partner with stakeholders across:
• Procure-to-Pay (P2P)
• Demand Planning
• Order Management
• Logistics & Distribution
• Inventory Management
• Supplier/Vendor Management
• Supply Chain Planning & Analytics
• Support business reviews through the preparation of metrics, performance analyses, and executive reporting materials.

Process Improvement & Automation

• Identify opportunities to automate reporting and streamline analytical processes.
• Support continuous improvement initiatives through data analysis and process performance measurement.
• Collaborate with cross-functional teams to implement sustainable reporting and analytics solutions.

Data Governance & Quality

• Maintain data quality standards and assist in resolving data discrepancies.
• Support governance efforts related to reporting structures, data definitions, and KPI standardization.
• Document reporting processes, methodologies, and business rules.

Qualifications and Requirements:

• Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics
• Three or more years of experience mining data as a data analyst
• Proven analytics skills, including mining, evaluation, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Advanced Excel Skills, with aptitude for learning other analytics tools
• Proficiency in Tableau Ability to maintain confidentiality based on access to proprietary financial, operational and competitive information.
• Familiarity with data warehouse systems, specifically Snowflake, is a huge plus.