Seagate's Supply Chain Performance Management Team needs to enhance data visibility and deliver actionable insights to key decision-makers, focusing on analyzing savings and spending patterns related to invoices, payment terms, and negotiation data. They also act as a liaison between the Supply Chain team and IT for data-related requests.
Requirements
- Proficiency in Tableau for dashboard development and data visualization.
- Strong skills in SQL and at least one programming language related to data analysis (e.g. Python or R).
- Experience with machine learning tools or statistical modeling in a business context.
- Hands-on experience with SAP and Alteryx/KNIME for data extraction and transformation.
- Familiarity with GitHub or other version control software.
Responsibilities
- Analyze large datasets related to procurement, travel expenses, MRP, and inventory to identify trends, anomalies, and opportunities for cost optimization.
- Develop interactive dashboards and visualizations using Tableau to support supply chain decision-making across the supply chain.
- Extract, transform, and analyze data from SAP, Alteryx, KNIME and other enterprise systems.
Other
- Strong communication and storytelling skills.
- Ability to work in a fast-paced environment in both isolated and group tasks.
- Pursuing a Bachelor’s or Master's degree in Data Analytics, Supply Chain, Statistics, Computer Science, or a related field at the Senior level and returning to school in Fall 2026.
- Travel: None
