Monitor the reliability of our fleet of meters and identify root causes of failures. Recommend solutions to improve reliability.**

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.