Principal Performance Analytics Engineer

Posted 9 Days Ago
Be an Early Applicant
Street, MD
147K-211K Annually
Senior level
Energy
The Role
The Principal Performance Analytics Engineer will analyze fleet performance using predictive analytics to detect anomalies, validate data from multiple databases, and collaborate with various teams to identify root causes of failures. This role also involves automating analyses, tracking quality issues, and presenting findings to stakeholders.
Summary Generated by Built In

Our team at Bloom Energy embraces the unprecedented opportunity to change the way companies utilize energy. Our technology empowers businesses and communities to responsibly take charge of their energy. Our energy platform has three key value propositions: resiliency, sustainability, and predictability. We provide infrastructure that is flexible for the evolving net zero ecosystem. We have deployed more than 30,000 fuel cell modules since our first commercial shipments in 2009, sending energy platforms to data centers, hospitals, manufacturing facilities, biotechnology facilities, major retail stores, financial institutions, telecom facilities, utilities, and other critical infrastructure customers around the world.

Our mission is to make clean, reliable energy affordable globally. We never stop striving to improve our technology, to expand and improve our company performance, and to develop and support the many talented employees that serve our mission!

We are looking for a Principal Performance Analytics Engineer to join our team in one of today’s most exciting technologies. This role will report to Head of Quality and Reliability and is based in San Jose, CA. This is a fully on-site, in office role.

Role and Responsibilities:

  • Become deeply familiar with and utilize the best-in-class (ASRD model) performance model to measure the fleet performance against, and create predictive, and trending analytics to detect anomalies within the fleet.
  • Create alerts and visual trend analytics to show regional, product related, deviation related, or other trends showing deviations from expected.
  • Gather data inputs from multiple sources to check commonality with use cases (Load following, grid trip, high amperage, CC, other) as well as any other factors (age, region, environment…) that may be contributing to the degradation.
  • 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.
  • Work with others in Quality, Product Development, Field Service and Remote Monitoring to analyze information to support root cause and corrective actions of product failures and other operational incidents.
  • Work very closely with the AI teams to ensure that work knowledge is shared between the groups, and no duplication.
  • Deep understanding of the controls algorithms that are being used at start up, and during operation that are controlling the algorithms of the HB performance.
  • Develop methods to automate repeated analyses to allow for effective and efficient monitoring of fleet performance and reliability metrics.
  • Track progress in reducing the cost of poor quality issues to our business.
  • Organize data input into Excel and JMP statistical analysis package to complete critical reliability analyses.
  • Lead problem solving efforts together with Service, Operations, Quality Engineering and Product Development to interpret the results of analyses to lead continuous improvement of product performance, degradation and reliability.
  • Create PowerPoint presentations summarizing the analyses completed with assumptions, conclusions and recommendations for customer and internal audiences.

Skills and Experience:

  • Bachelor’s degree or Master’s degree in Data Science, with Mechanical, Electrical, Chemical, Reliability or Systems engineering with 10 years of experience minimum
  • Preferable track of study or work experience in Data analytics related to Product Reliability Engineering.
  • Strong data mining skills including expertise in SQL and Python with discipline and attention to detail for data and analysis validation and accuracy. 
  • Experience in data analysis using JMP, Minitab or other statistical analysis programs and Tableau for data visualization.
  • Reliability Block Diagram, Fault Tree Analysis, or Markov modelling using Reliasoft or other modelling software is a plus.
  • Skilled at Root Cause and Corrective Actions (RCCA) using Six Sigma or 8D methods to solve complex problems working with cross-functional teams.
  • Strong PC and Microsoft Word, Excel and PowerPoint experience to enable the creation of professional reliability reports and presentations.
  • Excellent written and verbal communication skills.

For more information visit: www.bloomenergy.com and view a video on What Powers Us!

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.

#LI-BC1

Salary Ranges:$146,800.00 - $211,200.00

Top Skills

Python
SQL
The Company
HQ: San Jose, CA
1,716 Employees
On-site Workplace
Year Founded: 2001

What We Do

Bloom Energy empowers businesses and communities to responsibly take charge of their energy. The company’s leading solid-oxide platform for distributed generation of electricity and hydrogen is changing the future of energy. Fortune 100 companies around the world turn to Bloom Energy as a trusted partner to deliver lower carbon energy today and a net-zero future. For more information,
visit www.bloomenergy.com.

The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. By generating power where it is consumed, Bloom Energy offers increased electrical reliability and improved energy security, providing a clear path to energy independence.

Some of the largest companies in the world trust Bloom Energy to provide their businesses with clean, reliable and resilient energy. Bloom’s customers include many Fortune 100 companies and leaders in manufacturing, data centers, healthcare, retail, higher education, utilities, and other industries.

The company, headquartered in San Jose, California, is growing quickly and looking to add to its dynamic team. Stay up to date with Bloom Energy through our social channels.

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