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General Electric Lead Repair Forecaster in Remote, Georgia

Job Description Summary

• Responsible for facilitating the generation, distribution, and accuracy of piece-part and hours repair forecast for effective operations in the global repair network.

• Responsible for departmental operations planning/execution or is focused on execution of professional activities within a technical discipline. Functions with some autonomy and guided by established policies or review of end results.

• Role is based in Cincinnati, OH but open to candidates working remotely. Expected to support multiple time zones and global teams.

Job Description

Essential Responsibilities:

  • Responsible for forecasting component repair at the shop and cell level across global repair network

  • Create and Maintain - new & existing forecasting demand models based on business insights research & analysis

  • Work with internal and external customers to improve forecast signals and process

  • Analyze business trends, identify gaps & recommend business opportunities to support business growth

  • Actively participate in monthly business planning cycles, interact directly with repair and overhaul shop leadership teams

  • Actively participate in LEAN/Kaizen events. Develop and execute plan for process improvement and standardization opportunities within forecasting function

  • Participate & support digitization projects


  • For roles outside of the USA- This role requires significant experience in a quantitative or analytical field. Knowledge level is comparable to a Master’s degree from an accredited university or college (or a high school diploma with relevant experience).

  • For roles in USA - Bachelor's degree from an accredited university or college in a highly analytical and quantitative area, such as Engineering, Business, Finance, Economics, Statistics, etc. plus 3 to 7 years working experience in engineering or other quantitative discipline (Industrial or Operations Engineering preferred)

  • Minimum 2 years of experience building models or generating quantitative forecasts

  • Experience with LEAN, Six Sigma or other process improvement methodology

Desired Characteristics:

  • Master’s degree in any discipline (Business, Engineering, Data Science, Applied Mathematics, or related field) preferred

  • Ability to translate complex datasets to understandable trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, or similar

  • Strong knowledge in statistical modelling

  • Familiar with machine learning concepts, methods, and tools

  • Understanding and working knowledge of capacity & supply chain planning

  • Working knowledge of data processing and automation tools (Dataiku, Alteryx, or similar)

  • Working knowledge of programming/scripting languages (Python, R, or similar)

  • Highly proficient in Microsoft Office tools including Excel and PowerPoint

  • Flexible and resilient to respond constructively to new challenges

  • Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output

  • Detail-oriented, while also constantly prioritizing needs with resources available; able to support multiple projects and/or business functions at once

  • Excellent communication skills, interacts with multiple levels and functions with the distribution organization, and able to manage relationships

  • Able to thrive on a small core team and frequently interact with cross-functional teams

  • Humble: respectful, receptive, agile, eager to learn

  • Transparent: shares critical information, speaks with candor, contributes constructively

  • Focused: quick learner, strategically prioritizes work, committed

  • Leadership ability: strong communicator, decision-maker, collaborative

  • Problem solver: analytical-minded, challenges existing processes, critical thinker

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

#LI-Remote - This is a remote position