Lead Data Engineer, Supply Chain Analytics (Remote)

Bausch + Lomb; City of Albany (NY); Remote; USD 145,000 - 165,000; Full time

Benefits offered by this job

401(k) plan

Medical, dental, vision insurance

Tuition reimbursement

Paid holidays

Job summary

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations and analytics capabilities across the supply chain. You will extract, connect, structure, analyze, and visualize data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other systems.

This role turns large, fragmented data into actionable insights, predictive analytics, and decision-support tools that improve service levels, cost, quality, inventory, and end-to-end performance

Qualifications

• Bachelor's degree required in a related field.

Responsibilities

• Develop and maintain supply chain data models, pipelines, and data structures across logistics, planning, inventory, warehousing, and fulfillment.

Skills

SQL

Python

R

Alteryx

Power Query

Power BI

Tableau

Qlik

Machine Learning

Data storytelling

Education

Bachelor's degree in Supply Chain, Engineering, Data Science, CS, Information Systems, or related

Tools

ERP systems

SAP

Oracle

Kinaxis

Blue Yonder

HighJump/Korber

Job description

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build data foundations and analytics capabilities across the supply chain. You will extract, connect, structure, analyze, and visualize data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other systems.

This role turns large, fragmented data into actionable insights, predictive analytics, and decision-support tools that improve service levels, cost, quality, inventory, and end-to-end performance