Remote Senior Supply Chain Data Engineer & Analytics Lead

Bausch + Lomb; Pierre (SD); Remote; USD 145,000 - 165,000; Full time

Job summary

Bausch + Lomb in the United States is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations, analytics capabilities, and an insight engine for our supply chain transformation.

You will develop data pipelines, dashboards, predictive models, and AI-enabled solutions across ERP/MRP/WMS, partnering with IT and business teams to drive measurable improvements in service, cost, inventory, and planning.

Qualifications

• Bachelor's degree in supply chain, engineering, data science, CS, info systems, or related field.
• 5+ years in supply chain analytics or data engineering.
• Experience turning large data sets into insights and decision tools.
• Experience extracting data from ERP systems and supply chain platforms.
• Strong understanding of end-to-end supply chain processes.

Responsibilities

• Develop and maintain data models and pipelines across logistics and fulfillment.
• Design dashboards and management reporting translating data into insights.
• Analyze large data sets to identify patterns, risks, and opportunities.
• Develop predictive analytics and AI-enabled use cases for decision support.
• Collaborate with IT and data architecture to improve data governance and scalability.
• Translate analyses into executive-ready business cases and recommendations.

Skills

Data analytics

Communication

Problem solving

Stakeholder management

Education

Bachelor's degree in related field

Tools

SQL

Python

R

Alteryx

Power BI

Tableau

Qlik

ERP systems

Job description

Bausch + Lomb in the United States is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations, analytics capabilities, and an insight engine for our supply chain transformation.

You will develop data pipelines, dashboards, predictive models, and AI-enabled solutions across ERP/MRP/WMS, partnering with IT and business teams to drive measurable improvements in service, cost, inventory, and planning.