About This Role
Working at the intersection of data engineering and analytics, the Data Analyst will support the Material Planning department, focusing on supply and demand planning analytics, multi-tier supply visibility, and operational reporting. This role involves building tools, platforms, and automated pipelines that provide real-time visibility into gating supply chains, enable supply simulations, and drive operational excellence across planning workflows. The ideal candidate is a proactive and technically versatile analyst who thrives on automating manual workflows, building scalable tools, and solving complex supply chain problems with data.
Responsibilities
- Build and maintain tools, dashboards, and platforms that provide end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
- Design and run supply simulations to identify gating supply chains, forecast risk, and support proactive decision-making by planning and GSM teams
- Develop and maintain automated data pipelines for daily workflow orchestration, data extraction, transformation, and reporting
- Automate daily operational workflows to eliminate manual processes and drive operational excellence across Material Planning, GSM, and Component GSM teams
- Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
- Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
- Partner cross-functionally with Demand Planning, Material Planning, GSMs, Component GSM, Systems teams, and regional stakeholders to align analytics deliverables with operational priorities
- Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
- Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
- Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle, from design to deployment and user acceptance testing
Requirements
- Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics, Economics) or equivalent experience or evidence of exceptional ability
- 2+ years of work experience in supply chain analytics, demand/supply planning, or a related analytical role
- Strong proficiency in querying large datasets using SQL
- Experience with Python for data analysis, automation, and pipeline development (e.g., pandas, NumPy)
- Demonstrated ability to analyze complex data, run simulations, and present findings clearly and concisely
- Experience building and maintaining automated data pipelines and workflow orchestration using Apache Airflow or similar tools
