Remote Supply Chain Data Engineer & Analytics Lead

Bausch + Lomb; Denver (CO); Remote; USD 145,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan with company match

Tuition reimbursement (select degrees)

Company holidays

Well-being benefits

Job summary

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations and analytics capabilities for its global supply chain transformation. The role partners across ERP/MRP/DRP, WMS, WCS, and planning systems to deliver predictive tools and actionable insights.

The candidate will create data pipelines, dashboards, and AI-enabled insights to improve service, cost, inventory, and overall supply chain performance.

Qualifications

• Bachelor's degree in a related discipline.
• 5+ years of experience in supply chain analytics, data engineering, BI, or related field.
• Strong ability to convert large data sets into actionable insights and decision-support tools.

Responsibilities

• Develop and maintain supply chain data models, pipelines, and data structures for reporting across logistics and fulfillment.
• Design dashboards and management reports translating data into actionable insights.
• Develop predictive analytics, optimization models, and AI-enabled use cases for decision-making.
• Collaborate with IT and data architecture to improve data accessibility and governance.
• Translate technical analysis into executive-ready insights and business cases.

Skills

SQL

Python

R

Alteryx

Power BI

Tableau

ERP systems

Data modeling

Predictive analytics

Data storytelling

Education

Bachelor's degree

Tools

SAP

Oracle

Kinaxis

Blue Yonder

Manhattan

HighJump/Korber

SAP EWM

Dematic

Job description

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations and analytics capabilities for its global supply chain transformation. The role partners across ERP/MRP/DRP, WMS, WCS, and planning systems to deliver predictive tools and actionable insights.

The candidate will create data pipelines, dashboards, and AI-enabled insights to improve service, cost, inventory, and overall supply chain performance.