$131,500.00 - $189,300.00; not specified; st + ard...
Fully remote
Root-cause analysis for field returns
Reliability testing for continuous improvement
Data mining using python and sql
Lead efforts for effective root-cause analyses for field return solid oxide fuel cell products to drive reliability improvement
Job Summary
Lead efforts for effective root-cause analyses for field return solid oxide fuel cell products to drive reliability improvement.
Gather and validate data from multiple databases using Python, SQL or other methods to complete analyses on performance, reliability and degradation for Bloom Energy fuel cell systems.
Develop reliability block diagram and Monte Carlo simulations and provide data to Product development, Service, Marketing, Finance and others to support predictions of service replacements and costs associated with supporting Bloom Energy fuel cell products.
Matching Summary
Lead efforts for effective root-cause analyses for field return solid oxide fuel cell products to drive reliability improvement.
Salary
$131,500.00 - $189,300.00; Not specified; standard company benefits
Skills & Requirements
Must-have
Root-cause analysis for field returns
Reliability testing for continuous improvement
Data mining using Python and SQL
Data analysis using JMP
Root Cause and Corrective Actions (RCCA)
Cross-functional team collaboration
Nice-to-have
Bold thinking and relentless innovation
Collaboration and teamwork
Data visualization with Tableau
Reliability modeling software experience
Key Requirements
Bachelor's degree in Engineering
4 years of experience minimum
Reliability Engineering or data analytics experience
Strong data mining skills
Experience in data analysis using statistical programs