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
Managing and maintaining metadata data structures
Deliver results in a timely manner using agile methodologies
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
Ensure data quality and governance by implementing validation rules
Own core dashboards and reports for PC and accessory volumes
Analyze trends and performance to identify bottlenecks, risks, and improvement opportunities
Partner with cross-functional teams to translate business needs into data solutions
Automate and optimize data and reporting processes

Requirements

Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience
A minimum of 5 years of professional experience in the Data and Analytics domain
A minimum of 2 years of professional experience in Digital Workplace Technology
Strong SQL and data modeling skills, with experience extracting, joining, and shaping large operational datasets (orders, shipments, inventory, returns, deployments)
Proficiency with scripting languages (e.g., Python or R)
Hands-on experience with data warehousing or lakehouse platforms
Applied analytics experience using statistical methods and basic forecasting
Background in supply chain, logistics, or asset lifecycle processes
Experience with integration and monitoring tools (e.g., APIs, message queues, platforms like ServiceNow/Splunk)

Benefits

Healthcare benefits include medical, dental, vision, and prescription drug coverage
Access to a Health Coach from GE Aerospace
Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services
Retirement benefits include the GE Aerospace Retirement Savings Plan
A 401(k) savings plan with company matching contributions and company retirement contributions
Access to Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time-off for vacation or illness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architectureETLELTdata modelingSQLPythonRdata warehousingstatistical methods

Soft Skills

analytical skillstimely deliverycross-functional collaborationproblem-solvingcommunication