Transmission Analyst (Grid Integration & Analysis)

Pattern Energy Group•Houston, TX

9d•Hybrid

About The Position

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in the United States, Pattern has a global portfolio of more than 30 power facilities and transmission assets, serving various customers that provide low-cost clean energy to millions of consumers. The position will have responsibility for supporting data analytics necessary to support the Grid Integration and Analysis (GIA) Team to organize, automate, and optimize analyses of the U.S. power grid. The successful applicant will implement these strategies by learning the tools and processes used within the GIA Team and identifying, designing, developing, and implementing tools to enhance and expedite these tools and processes. The successful applicant will have a strong data analysis and coding background as well as a desire to learn new skills associated with the planning, control, and operation of the electric power grid.

Requirements

Bachelor’s degree in computer science, mathematics/statistics, physics, or engineering, or demonstrated equivalent work experience.
2+ years of experience in computer programming and/or advanced data analysis automation (college work, internships, or part-time work may qualify).
Demonstrated ability to build, maintain, and analyze large datasets and databases.
Strong interest in learning tools and processes associated with planning, control, and operation of the electric power grid.
Excellent oral and written communication skills, including the ability to ask clarifying questions and document requirements clearly.
Ability to manage multiple competing priorities and deliver high-quality work under deadlines.
Strong attention to detail for data validation and quality control.
Demonstrated ability to work collaboratively with internal stakeholders and technical teams.
Willingness and ability to learn new analytical tools and workflows used by the GIA Team.
Proficiency in Python and/or other coding languages (e.g., C++ or R) for automation and analysis of datasets.
Experience developing tools that automate, organize, and/or expedite analytical workflows.
Experience building dashboards and reporting views (e.g., for status tracking, ownership, and workflow visibility).
Strong capability working with large datasets; data science background preferred but not required.
Proficiency with typical software applications (Excel, Word, PowerPoint).

Nice To Haves

data science background preferred but not required

Responsibilities

Support development, maintenance, and update of internal databases required to support analysis for identifying and assessing new interconnection and transmission opportunities.
Develop automation tools to enhance the speed and accuracy of transmission and grid-integration analyses.
Simplify and automate processes for collecting, validating, and preparing new datasets used in power flow and production cost simulation studies.
Develop and update dashboards for quick reference of the status, location, and responsible parties for Pattern’s generation and transmission interconnection activities and transmission service positions across the U.S.
Interview and collaborate with internal customers to understand functional requirements and translate them into tool specifications.
Validate data used for analysis and implement quality controls to improve reliability and repeatability.
Develop and maintain thorough documentation for all tools, processes, and procedures to support business continuity.
Balance multiple competing priorities during periods of significant activity, including ongoing database maintenance and new tool development.