Senior Supply Chain Data Engineer & Analytics Lead (Remote)

Bausch + Lomb; Topeka (KS); Remote; USD 145,000 - 165,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive compensation package

Benefits and incentive programs

Job summary

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build the data foundation and analytics engine for supply chain transformation. You will partner across ERP, planning, and logistics to extract, structure, analyze, and visualize complex data, delivering actionable insights and AI-enabled use cases.

The role focuses on improving service, cost, quality, inventory, and end-to-end supply chain performance, with strong data engineering and analytics capabilities

Qualifications

• Bachelor's degree or equivalent in a related discipline.
• 5+ years in supply chain analytics, data engineering, BI, or consulting.
• Experience turning large data sets into actionable insights and recommendations.
• Experience extracting and analyzing data from ERP and SC platforms.

Responsibilities

• Develop and maintain supply chain data models, pipelines, and data structures.
• Extract, transform, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS and planning systems.
• Design dashboards, scorecards, and reporting translating data into insights and actions.
• Analyze large data sets to identify patterns, risks, and improvement levers across the supply chain.
• Build predictive models, optimization tools, and AI-enabled decision-support solutions.
• Quantify savings opportunities and commercial/operational impacts.
• Create analytical tools for network performance, inventory positioning, and service metrics.
• Translate analysis into executive-ready business cases and recommendations.
• Collaborate with IT and data governance teams for scalable analytics.

Skills

SQL

Python

Power BI

R

Alteryx

Education

Bachelor's degree in a related field

Tools

SAP

Oracle

Kinaxis

Blue Yonder

Job description

Bausch + Lomb is seeking a Principal Supply Chain Data Engineer and Analytics Lead to build the data foundation and analytics engine for supply chain transformation. You will partner across ERP, planning, and logistics to extract, structure, analyze, and visualize complex data, delivering actionable insights and AI-enabled use cases.

The role focuses on improving service, cost, quality, inventory, and end-to-end supply chain performance, with strong data engineering and analytics capabilities