Remote Principal: Supply Chain Data & Analytics Lead

Bausch + Lomb; Helena (MT); Remote; USD 145,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

401(k) matching

Tuition reimbursement

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 transformation. You will extract, connect, structure, analyze, and visualize complex data from ERP, MRP, and planning systems to drive service, cost, inventory, and capacity improvements.

The role emphasizes turning large volumes of data into actionable insights, predictive analytics, and decision-support tools, with collaboration across

Qualifications

• 5+ years of progressive experience in supply chain analytics, data engineering, or related fields.
• Experience extracting, transforming, validating, and analyzing data from ERP and supply chain platforms.
• Strong understanding of end-to-end supply chain processes (demand planning to fulfillment).
• Ability to translate data into actionable insights for decision-making.
• Excellent communication to explain complex data to technical and non-technical audiences.

Responsibilities

• Develop and maintain supply chain data models, pipelines, and data structures.
• Design dashboards, scorecards, and reporting for actionable insights.
• Build predictive models, simulations, and AI-enabled use cases for decision support.
• Collaborate with IT and data architecture to improve data governance and scalability.
• Translate technical analysis into executive-ready insights and business cases.

Skills

SQL

Python

R

Alteryx

Power BI

Tableau

Data storytelling

Data modeling

Education

Bachelor's degree in a related discipline

Tools

ERP systems

Advanced analytics tools

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 transformation. You will extract, connect, structure, analyze, and visualize complex data from ERP, MRP, and planning systems to drive service, cost, inventory, and capacity improvements.

The role emphasizes turning large volumes of data into actionable insights, predictive analytics, and decision-support tools, with collaboration across