Sr. Engineer I, Performance Analytics

RWE•Austin, TX

7d•$130,000 - $140,000

About The Position

The Sr. Engineer I, Performance Analytics, as a member of the Analytics & Monitoring team, is responsible for the development and management of internal asset performance analytics tools and infrastructure, for leading regular and ad hoc analysis to identify asset underperformance, and mentoring team members with a main focus on wind, solar, and storage technologies. The tools in our platform address actual and historical performance, provide underperformance alerts, and summarize relevant asset data for a variety of audiences, including upper management. The Sr. Engineer I, Performance Analytics, will drive collaboration with O&M, Asset Management, and Engineering teams to surface issues that cause assets to underperform. The development of the analytics tools and platform will be done in close collaboration with the IT/OT department as well to ensure that the system and protocols are compatible with the company's IT/OT strategy and guidelines. The ultimate goal of the Sr. Engineer I, Performance Analytics, is to enhance the profitability of the whole portfolio of assets by identifying underperformance and offering a perspective on possible improvement opportunities.

Requirements

A degree in STEM from an accredited university or college is required
Minimum 7 years of engineering experience with demonstrated history in analytics activities and/or projects
Excellent understanding of Wind/ Solar Energy and BESS systems
Familiarity with Condition Monitoring Systems and predictive analytics
Excellent understanding of Operational Data and energy calculation methodologies
Extended experience with data analytics, databases, and visualization tools (e.g., Python, R, SQL, Tableau, Databricks)
Strong familiarity with Agile methodologies
Project management skills
Self-Starter
Problem Solver
Customer-oriented
Good oral and written communication in English
Willing to travel (up to 10% of time)

Nice To Haves

Strong preference for Machine Learning deployment methodologies
Experience with deployment of AI to improve workflows

Responsibilities

Design, Develop and Build tools and products that determine the overall health and performance of wind, solar, and battery storage assets
Validate and support the improvement of energy and performance calculation methods
Provide support to regional Operations and Maintenance teams about faults, reliability, and efficiency issues.
Product Development (diagnostic and predictive analysis methods and tools)
Power performance test process support at wind and solar sites
Evaluate retrofit project calculations
Build a collaborating environment with multiple stakeholders (Engineering, Operations, IT/OT, and others)
Mentor engineers in technology-related topics, data analytics methods, and tools
Drive continuous improvement processes
Work with multiple stakeholders