Job Description SummaryAt GE Aerospace, Prognostics and Health Management (PHM) is focused at providing useful information about aircraft engines health condition and its components. The Aircraft Engines PHM Data Analyst engineer will be responsible in the creation of engine health management dashboards, analytics development, and exploratory data analysis.Job Description
Roles and Responsibilities
Learn about the GE Aerospace Commercial Engines PHM system architecture and flight data flow.
Collaborate, learn, and work with PHM stakeholders and experts for each engine PHM-related subsystem.
Collaborate with PHM stakeholders to develop engine health management dashboards with data visualization.
Work with internal/external customers to resolve PHM flight data quality issues within the PHM system architecture.
Learn to timely communicate data issues to both Technical Leadership and upper Management.
Perform message definition / parsing rules implementation for Fleet support team (RMD owners) based on the ACMS/EEC report coding and requirements.
Implement tools to aid Message parsing rule implementation.
Analyze reported field data issues by looking into data sources (EMS, RMD, SOAR) to confirm the data behavior and work with the development team to identify a root cause and resolution.
Perform python scripts to support data analysis.
Present at technical reviews and document results from investigations, data analysis, dashboard development and analytics activities
Required Qualifications
- University students (Mechatronics, computer system engineering, Data Science, Data Engineering, Statistics, or similar background).
- Knowledgeable in programming skills in two of the following: Python, SQL, C/C++, R
- Effective written and oral communication skills in both English and Spanish
- Disciplined, self-driven, shows initiative and is initiative-taking.
- Problem-solving skills with guidance
Desired Characteristics
- Knowledge on aircraft engines performance and operational parameters
- Basic experience in prototyping analytic solutions for complex problems
- Basic experience in data analysis, data engineering and data science
- Basic experience using tools (i.e. Spotfire, Tableau, Power BI) to develop interactive Data Dashboards and Dataiku
- Basic experience on Object Oriented Programming (OOP) development.
- Basic experience managing GitHub repositories.
Additional Information
Relocation Assistance Provided: No
