Technical Service Engineer (Data Analytics)

Responsibilities

• Design and build analytical tools to provide insight to related engineering KPIs not limited to assembly process, repair yield, repair callout, Right First Time, Turn Around Time etc.
• 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.
• Automate manual processes, optimize data delivery redesigning infrastructure for greater scalability of extraction, transformation and loading of data.
• 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.
• Work with other engineering teams to assist with data related technical issues and analysis.
• Use existing data and engineering knowledge to develop and validate time required to perform a repair.
• Lead technical discussion with internal and external stakeholders such as Operations, OEM, customer to agree issues such as yield, rework, time required for process etc.

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.