Supply Chain Analytics Specialist

Veolia Environnement SA•Minnetonka, MN

4h•$90,000 - $100,000•Onsite

About The Position

Veolia is currently searching for a highly motivated Supply Chain Performance Analytics Lead to support our Minnetonka, MN location. The Supply Chain Performance Analytics Lead is accountable for enabling data driven operational decision making by delivering standardized, scalable analytics that provide clear visibility to manufacturing and supply chain performance in Minnetonka. This role defines and owns critical performance metrics, dashboards, and analytic views that drive operational excellence across our Minnetonka facility. You will establish standardized measurement frameworks spanning capacity utilization, throughput optimization, inventory management, cycle time reduction, yield improvement, and on-time service delivery. Your analytics will ensure alignment across our operations to master data standards and execution processes, enabling data-driven decision-making that supports Veolia's commitment to environmental and operational excellence.

Requirements

Bachelors of Science in Engineering, Data Science, Information Management or similar
3+ years of experience in operations/manufacturing data support roles (educationally, intern ect)
Data manipulation and visualization skills using Power BI, Tableau, or similar
Expertise in ERP systems (preferably SAP, Kinaxis Maestro, and/or Planet Together) and advanced computer skills, including Google Sheets, Docs, Slides or Microsoft Excel, Word and PowerPoint, with the ability to analyze large datasets.

Nice To Haves

Understanding of Statistical Process Control (SPC) and its application in manufacturing a plus
Desire to collaborate with varied cross functional stakeholders at all levels
Tenacity to drive projects to completion translating broad requirements into specific functionality or visuals to meet business needs
Ability to maintain positive/collaborative working relationships with cross functional stakeholders at all levels of the organization
Ability to present technical data to all levels of the organization
Experience with predictive modeling, regression analysis, and correlation techniques
Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity
Strong understanding of financial and operational metrics and how they influence business performance

Responsibilities

Analyze transactional, demand, and production data across the ERP and operational systems to surface the inefficiencies, delays, and root causes behind order flow, material availability, build plans, and on-time delivery.
Build a deep understanding of data architectures across various corporate platforms, focusing on cloud databases, MES, and ERP applications.
Identify and merge novel datasets to support predictive analytics, process monitoring, and the Operations Cockpits.
Design and deploy predictive data dashboards that synthesize raw material, manufacturing, and final product metrics to guide business choices and resolve technical issues.
Create scalable, automated reporting workflows and pipelines to minimize manual tasks and improve resilience against supply and demand shifts.
Work hand-in-hand with Planning, Engineering, Digital, and Operations to convert operational inquiries into concrete, analytical insights.
Cooperate with regional and international partners to design and develop Daily Operations Cockpits—tailored dashboards providing consistent, automated operational data for essential business roles.
Foster global organizational partnerships to facilitate strong teamwork and leadership, with a focus on connecting with international colleagues in data visualization.
Coordinate department goals with other team members while using clear organizational communication to achieve key targets.
Guide and mentor others to foster analytical literacy and expertise throughout the plant.
Evaluate intricate data from MRP/ERP systems, production timelines, and demand forecasts to identify bottlenecks and their underlying causes. Promote continuous optimization in order management, safety stocks, material readiness, and production scheduling.
Collaborate with operational and planning segments to synchronize data models with MRP logic. Provide support in optimizing BOM definitions, lot sizes, and lead-time estimates for enhanced planning precision.
Direct and oversee significant analytics projects, guaranteeing on-time execution aligned with corporate targets.