About the role
The Supplier Performance and Data Analytics Specialist will transform procurement, delivery, quality, capacity, and demand data into actionable insights that anticipate supplier risks and protect continuity of supply. This role will develop and maintain dashboards, scorecards, risk models, and analytical tools that enable proactive, data-driven decision-making across Supplier Development, SIOP, Procurement, Materials, and Operations.
Key Responsibilities
As a Supplier Performance and Data Analytics Specialist, you'll be responsible for:
- Develop and maintain supplier performance scorecards, segmentation models, and KPI analytics across suppliers, sites, and commodities.
- Design, build, and continuously improve Power BI dashboards, data models, relationships, and DAX measures while ensuring data accuracy and governance.
- Integrate SIOP demand forecasts with supplier capacity data to identify constraints, evaluate scenarios, and anticipate supply risks across a rolling 12–18-month horizon.
- Develop early-warning indicators, risk-scoring models, and analytical tools to identify supplier performance deterioration and support mitigation, capacity expansion, and dual-sourcing decisions.
- Prepare executive reports and decision-ready insights for weekly, monthly, and quarterly reviews with Supplier Development, Category Management, Procurement, Materials, and Operations.
Requirements
We are looking for people who are analytical, detail-oriented, proactive, and capable of translating complex data into clear business recommendations. If this is you, get in touch.
As a minimum you must have:
- Bachelor's degree in Industrial Engineering, Systems Engineering, Supply Chain, Data Science, Business Analytics, or a related field.
- 3+ years of experience in supply chain, procurement, supplier development, supply or demand planning, or performance analytics.
- Advanced proficiency in Power BI, including data modeling, DAX, dashboard development, and data visualization, as well as advanced Excel skills.
- Working knowledge of SQL and a solid understanding of SIOP/S&OP, demand and capacity planning, and supplier performance KPIs such as OTD, PPM, lead time, and capacity utilization.
- Advanced English and Spanish communication skills, with the ability to translate analytical findings into executive-ready insights.
Although not necessary, it would be nice if you have:
- Experience with predictive analytics or machine learning applied to supply chain or supplier-risk management.
- Experience with SAP, Snowflake, Power Automate, Tableau, LeanDNA, Smartsheet, or similar data and workflow tools.
- Experience in a manufacturing environment supporting supplier capacity, dual-sourcing, NPI, or supply continuity initiatives.
Benefits
We offer a competitive total rewards package that may include other benefits and well‑being programs. Offerings vary by role and location and are designed to support employees’ health, security, and success.
