Supply Chain Optimization Analyst

About the Role

Georgia-Pacific is seeking a Supply Chain Optimization Analyst to join their Integrated Business Planning organization, supporting Structural Panels - Plywood and OSB. This role is a core part of the weekly network linear programming (LP) optimization model cycle. You will be responsible for preparing data, running models, resolving issues, and delivering outputs for planner decision-making. This is an operational role with a recurring weekly cadence.

You will partner primarily with supply and demand planners and report directly to the Director of Production Planning. You will also manage a suite of standardized reporting for business leaders. This is an entry-level opportunity offering a strong introduction to the business, its network operations, drivers of results, and decision-making processes, with regular exposure to business leaders. Deep manufacturing, supply chain, or optimization expertise is not expected initially; curiosity and a willingness to learn are essential.

Key Responsibilities

• Execute the weekly network LP modeling cycle, delivering reliable results on a consistent operational schedule.
• Prepare and assemble model input data sets from planning and operational sources.
• Review model inputs and outputs for reasonableness and identify potential input issues with data owners.
• Run models and diagnose infeasibilities, working with planners to identify and resolve root causes.
• Prepare reporting on model outputs for supply and demand planners to act upon.
• Tune models by adjusting parameters and constraints to reflect current business conditions.
• Identify and implement improvements to the modeling process, aiming to reduce manual steps and enhance reliability and turnaround time.

Requirements & Tech Stack

• Strong data analysis skills, including Excel, PowerBI, python, or similar tools.
• Comfort working with large data sets and a high attention to detail.
• Demonstrated ability to troubleshoot problems in a structured way, especially when results are unexpected.
• Ability to consistently meet recurring deadlines.
• Ability to communicate clearly with planners and business leaders.
• Curiosity about business operations and their drivers.

Qualifications

• Bachelor’s degree in Industrial Engineering, Operations Research, Supply Chain, Mathematics, Data Analytics, Statistics, Engineering, Business, or a related field.

Preferred Qualifications:

• Internship or co-op experience in supply chain, planning, analytics, or a related function.
• Coursework or exposure to linear programming or optimization concepts.
• Basic python knowledge, particularly pandas.
• Experience with SQL.
• Experience with Power BI.
• Experience using AI tools to accelerate work.
• Experience in manufacturing and/or supply chain.