Supply Chain Analytics Lead – Data-Driven Ops & Dashboards

Veolia Water Technologies; Minnetonka (MN); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Time Off

Paid Holidays

Parental Leave

401(k) Matching

FSA/HSA

Tuition Reimbursement

Job summary

Veolia Water Technologies is seeking a Supply Chain Performance Analytics Lead in Minnetonka, MN to drive data-driven decisions across manufacturing and supply chain. You will define metrics, dashboards, and views to enable operational excellence and standardize performance measurement across the plant.

The role emphasizes capacity utilization, throughput, inventory management, cycle time reduction, yield improvement, and on-time service delivery, partnering with Planning, Engineering, Digital,

Qualifications

• BS in Engineering, Data Science, Information Management or similar.
• 3+ years in operations/manufacturing data support roles.
• Data manipulation and visualization using Power BI, Tableau, or similar.
• Expertise with ERP systems (SAP, Kinaxis Maestro, Planet Together) and advanced software tools.

Responsibilities

• Analyze transactional, demand, and production data to surface inefficiencies and root causes behind order flow and on-time delivery.
• Build understanding of data architectures across cloud databases, MES, and ERP.
• Merge novel datasets to support predictive analytics, process monitoring, and Operations Cockpits.
• Design and deploy predictive dashboards that synthesize material, manufacturing, and product metrics for business decisions.
• Create scalable, automated reporting workflows to reduce manual tasks and improve resilience.

Skills

Power BI

Tableau

Data analysis

Education

Bachelor's degree in Engineering/Data Science/Information Management or similar

Tools

SAP

Kinaxis Maestro

Planet Together

Job description

Veolia Water Technologies is seeking a Supply Chain Performance Analytics Lead in Minnetonka, MN to drive data-driven decisions across manufacturing and supply chain. You will define metrics, dashboards, and views to enable operational excellence and standardize performance measurement across the plant.

The role emphasizes capacity utilization, throughput, inventory management, cycle time reduction, yield improvement, and on-time service delivery, partnering with Planning, Engineering, Digital,