Analytics Engineer I

2 weeks ago

South Portland, United States Generac Full time

Location South Portland, Maine - Hybrid


Join Generac Clean Energy as we drive to build energy solutions for a more resilient, sustainable world. Generac Clean Energy combines the speed and excitement of a technology startup with the resources and market power of an S&P 500 industry leader.


Our careers offer boundless opportunity for energetic, mission-driven applicants who seek challenge and impact in a fast-paced culture of teaching, learning, and professional growth, developing solar storage products and software for the clean energy revolution. Clean has facilities in ME, MA, WI, OR, CA, and Vancouver.


Generac Power Systems seeks an Analytics Engineer I to be based in Portland, ME or Remote. This role will be a part of the Field Data Analytics Team, which provides essential oversight of all internet connected and field installed Generac Clean Energy products.


This team builds tools to act as an early warning to product related issues and oversees the field monitoring of new product introductions. They scrutinize data collected from all PV related equipment and analyze ‘big data’ to ensure products are working as expected. The successful candidate will effectively understand system performance, identify early signs of product issues, and communicate these back to multiple business groups.



Essential Duties and Responsibilities:

  • Spearhead and automate field monitoring efforts by accessing and processing system- and device-level data from platform databases, presenting it in a meaningful way
  • Identify and report on trends in field performance and device capability/reliability, capturing larger fleet behaviors related to health and performance
  • Work closely with Technical Support and Application Engineering teams to rapidly identify and resolve customer issues, providing data in an actionable way
  • Feedback field issues and design change proposals to firmware and hardware design teams using data to provide business cases
  • Establish and manage beta site monitoring and data collection programs for new products, design revisions, and high visibility projects, normalizing processes and creating documentation of actions
  • Interface with software team to develop tools and processes to efficiently extract and present site data


Minimum Qualifications:

  • BS in Computer Science, Math/Statistics, Engineering or equivalent experience
  • Experience working with analysis of big data
  • Familiarity with query databases (ex: SQL, Apache Hive, or Apache Phoenix)
  • Experience using one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R)
  • Knowledge of statistical analysis languages (ex: R, Python, SAS, or Stata)
  • Strong data visualization/presentation skills


Preferred Qualifications:


  • Understanding or history of working with power electronics/IoT devices
  • Familiarity with Renewable Energy/Solar/Energy market
  • Experience with Superset, Tableau, PowerBI or equivalent visualization tools
  • Knowledge of Agile/Sprint Methodologies and best practices for software development


Physical Demands:


While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 40 pounds. Specific conditions of this job include are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus.


“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

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