Maintenance Analytics Engineer

Overview

Develop and implement maintenance analytics tools for railway reliability.

Key Responsibilities

• algorithm development
• data analysis
• system integration
• performance monitoring
• rcm design
• maintenance planning

Tasks

-Write and review maintenance procedures and plans, train users on CBM. -Analyse diagnostics and maintenance data -Study and review of the vehicle FMECA/FMEA and maintenance plan -Master the communication among the diagnostic MMI interfaces, TCMS, the specific on-board subsystem controllers and on-ground system -Implement prognostic algorithms with different proprietary technologies and coding languages such a Pyspark , Python, PowerBI -Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance -Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions. -Support and participate in RCM design activities. -Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application -Support prognostic algorithm verification and validation. This will include simulations with TCMS simulator and historical diagnostic data, analysis of maintenance reports and on field failures.

Requirements

• python
• sql
• pyspark
• git
• powerbi
• engineering degree

What You Bring

-Able to manage relationship with suppliers and end-customers -Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawings -Experience in coding with Python, SQL, preferably Pyspark, and versioning tools (SVN, Git) -Able to write technical specification for software and electronic systems -Experience in big data analysis techniques both unsupervised and supervised machine learning -Good understanding of RCM methodology -Experience in design of vehicle railway system -Engineering Degree, preferably Electrical or Electronics Engineering -Familiar with PowerBI dashboard development. -Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques. -Ability to communicate effectively both orally and in writing -An understanding of health and safety requirements of a working environment -Experience in prediction/CBM algorithms. -Experience in railway domain (preferred) or other manufacturing industry such as avionics, automotive or R&D. -Experience in maintenance of vehicle railways equipment

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Benefits

-Employee Assistance Programme -Personal Accident insurance -Competitive salary -Group Life Insurance -Pension scheme with contributions up to 9% -Private medical insurance -Annual Performance bonus paid on discretionary basis. -Group Income protection -25 days holiday

About Hitachi Rail

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