Requirements

• Understanding of techniques to improve reliability including predictive modelling, root cause analysis, mean time to failure (MTTF), corrective and preventive action (CAPA)
  
• Experience with product qualification and failure analysis
  
• Enthusiasm to continuously improve skills and learn new technologies
  
• Attention to detail
  
• Ability to analyse data using Excel
  
• Strong attention to detail and commitment to accuracy.
  
• Ability to perform effectively under pressure and meet tight deadlines.
  
• Familiarity with database interaction and querying.
  
• Basic understanding of programming languages: Python, C#, C++, and C.
  
• Fluent in English and Kiswahili
  
• 3+ Years’ experience in a similar role
  
• Bachelor in Electromechanical, Mechanical, Electrical Engineering or any related course.
  
• Female candidates are specially encouraged to apply
  

• Identify, analyze, and mitigate failures using techniques such as fault tree analysis (FTA), failure mode and effect analysis (FMEA), hazard analysis, and need for design change
  
• Analyze data and provide insights into meter reliability using probability statistics.
  
• Recommend improvements in meter software and hardware design.
  
• Investigate technical issues and potential tampering incidents and recommend resolutions.
  
• Analyze daily meter performance and report issues.
  
• Maintain our KPIs dashboards for fleet performance and device reliability
  
• Design and execute reliability experiments in field conditions in Kenya
  
• Perform any other duties as assigned by management to support departmental objectives.