- Staff Benefits (Comprehensive Medical Coverage, Flexible Benefits, Company Transport)
- Training/Career Progression Opportunities
Responsibilities
- Based on big data, derive predictive solutions to provide guidance to the business including the forecasting of cost, parts replacement / repair, engine workscope, performance, etc.
- Identify, design and implement internal engineering business process improvements that will benefit data collection, Extraction, transformation, loading and analysis.
- Create and maintain Optimal Data pipeline and architecture to assemble large, complex data sets that meet business requirements.
- Use Data Analytics to identify trend and propose potential Life Cycle Cost initiative for win-win benefit.
Requirements
- Minimum a Degree in Manufacturing / Mechanical / Computer Science Engineering
- Familiar with use of Power BI and Minitab
- Able to code in Python and is familiar with the use of libraries such as NumPy, Pandas, Scikit-learn and Tensorflow.
- Some familiarity in programming with VBA, SQL and or C# would be advantageous.
- Possess good skills in communication, analytics, statistics, data wrangling and business reporting.
- Knowledge of MRO or component repair processes (e.g. Welding, Plasma, Machining, Coating, etc) would be an advantage.
- Loves problem-solving, taking ownership and having a hands-on approach.
- Ideally 2 years of experience in a similar capacity in the aviation industry/ Fresh Graduates and engineers (from non-aviation industry) with relevant experiences are welcome too.
