We are Generac, a leading energy technology company committed to powering a smarter world.
Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.
Generac seeks a Senior Analytics Engineer for a Remote role. This role will be a part of the Platform Analytics Team, which provides essential infrastructure for 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 residential products deployed in residential applications. They scrutinize data collected from all PV related equipment and analyze ‘big data’ to ensure products are working as expected. The candidate should be highly skilled in analytics and engineering, with the ability to confidently assess, analyze, and organize large amounts of data. This candidate should also be highly skilled in developing automations in the form of ETL data pipelines, API automations, and batched command deliveries. The successful candidate will quickly learn data layouts, develop a system to create processed information for sub-population analysis, and create automations to command/repair systems
Essential Duties and Responsibilities:
Drive and automate field monitoring efforts by accessing and processing system- and device-level data from platform databases, presenting it in a meaningful way
Develop applications that utilize existing API’s for command, control, and repair of systems remotely
Develop ETL pipelines to create structure out of multiple IoT platforms
Feedback field issues and design change proposals to field training, firmware and hardware design teams using data to provide business cases
Interface with software team to develop tools and processes to efficiently extract and present site data
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
Minimum Qualifications:
BS plus 5-8 years of related experience or MS plus 4-6 years of related experience in Computer Science, Math, Statistics, Engineering, Operations Research or equivalent experience
Experience working with analysis of big data
Experience working with data models, including incorporating automation
Familiarity with query databases (ex: SQL, Apache Hive, or Apache Phoenix)
Knowledge of statistical analysis languages (ex: Python, R, SAS, or Stata)
Strong scripting & application development skills
Preferred Qualifications:
Understanding or history of working with power electronics/IoT devices and control systems
High skill level in a scripting language such as Python
Experience with tools and approaches for machine learning, deep learning, and/or natural language processing
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 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.”