Remote Supply Chain Data Engineer & Analytics Lead

Bausch & Lomb GmbH; Northern (KY); Hybrid; USD 145,000 - 165,000; Full time

Benefits offered by this job

Short-term incentives

Long-term incentives

Healthcare benefits

401(k) with company match

Tuition reimbursement

Company holidays

Well-being benefits

Sick time and paid vacation

Job summary

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer & Analytics Lead to build the data foundation, analytics capabilities, and an insight-generation engine for our supply chain transformation.

You will design data pipelines, dashboards, predictive tools, and AI-enabled insights, partnering with IT and business teams to deliver measurable improvements across logistics, planning, inventory, and fulfillment. This role is remote in the United States.

Qualifications

• Bachelor’s degree in a related discipline.

Responsibilities

• Develop and maintain data models, pipelines, and data structures enabling reporting and decision support across logistics, planning, inventory, warehousing, and fulfillment.

Skills

Analytical thinking

Communication

Cross-functional collaboration

Problem solving

Ability to manage multiple priorities

Education

Bachelor’s degree in supply chain management, Engineering, Data Science, Computer Science, Information Systems, Business Analytics, Operations Research, Finance, or related discipline

Tools

SQL

Python

R

Alteryx

Power Query

Power BI

Tableau

Qlik

SAP

Oracle

Kinaxis

Blue Yonder

Manhattan

HighJump/Korber

SAP EWM

Dematic

Job description

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer & Analytics Lead to build the data foundation, analytics capabilities, and an insight-generation engine for our supply chain transformation.

You will design data pipelines, dashboards, predictive tools, and AI-enabled insights, partnering with IT and business teams to deliver measurable improvements across logistics, planning, inventory, and fulfillment. This role is remote in the United States.