Staff Data & Analytics Engineer

About this role

# Job Description Summary

Responsible for managing business critical data engineering processes and data architecture solutions in order to enable analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.

# Job Description

Job Overview:
As a Supply Chain Data Engineer for the GE Aerospace Digital Workplace team, you will be responsible for designing, building, and maintaining the data and analytics solutions that power Digital Workplace supply chain decisions. Working under the leadership of our Data & Analytics Leader, this role oversees end to end data pipelines and reporting for key operational metrics such as PC and accessory volumes, open PC returns, inventory levels, delivery performance, and deployment trends. The successful candidate will partner closely with Supply Chain, Digital Workplace Operations, Finance, and regional stakeholders to provide accurate, timely, and actionable insights that improve service levels, optimize inventory, and reduce total cost. This position is crucial for driving improvements in our digital workplace environment, ensuring seamless reporting across our organization. You will be part of a growing, focused team to continually develop this internal product portfolio, delivering increased value to our 70,000+ user base across the world, impacting every employee across the company.

Essential Responsibilities:

- Design, build, and maintain scalable ETL/ELT data pipelines integrating data from asset management, logistics, ticketing, ERP, and procurement systems.
- Develop and manage data models and integrations for Digital Workplace supply chain domains, including PCs, accessories, orders, deliveries, returns, and inventory.
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