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Supply Chain Analytics Specialist

Job in Minnetonka, Hennepin County, Minnesota, 55345, USA
Listing for: Veolia
Full Time position
Listed on 2026-10-10
Job specializations:
  • Business
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 100000 USD Yearly USD 90000.00 100000.00 YEAR
Job Description & How to Apply Below
Company Description

Veolia Group is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia Group designs and implements innovative solutions for decarbonization, depollution, and resource regeneration, supporting communities and industries in their ecological transformation. Within this framework, Veolia's Water Technology Business brings together a dedicated team of experienced professionals committed to tackling the world’s most complex challenges related to water scarcity, quality, productivity, and energy.

Together, we pursue a shared mission to create a more sustainable future.

Job Description

Job Summary

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.
Job Description

  • Supply Chain & Operations Analysis:
    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.
  • Automation & Scalability:
    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.
  • Mentorship &

    Collaboration:

    Guide and mentor others to foster analytical literacy and expertise throughout the plant.
  • Supply Chain & Manufacturing Analysis:
    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.
  • MRP System Integration:
    Collaborate with operational and planning segments to synchronize data models with MRP logic. Provide support in optimizing BOM…
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