Senior Analyst – Solar

DNV•Seattle, WA

1d•Hybrid

About The Position

DNV Energy USA, Inc. seeks a Senior Analyst – Solar to work on a hybrid schedule in our Seattle, WA office. This role involves conducting long-term solar resource and energy production assessments for various scales, analyzing climatic and operational data, performing statistical uncertainty analyses, and deriving component parameters for energy modeling. The position also includes writing technical reports, communicating results to customers, managing solar energy assessment projects, and leading research and presentations at industry conferences. The Senior Analyst will collaborate with industry, academia, and national labs, lead the Solar Modeling software development team, determine business cases for software improvements, and prioritize enhancements in a 12-month roadmap. Engagement with stakeholders, supporting the energy assessment team with training and troubleshooting, and developing numerical analysis in Python or other programming languages are also key responsibilities. The role emphasizes contributing to a diverse working environment, proactive communication, accountability, and working independently. The position requires 5% domestic and 5% international travel. The role is hybrid, allowing periodic work from home within a reasonable commuting distance of the Seattle, WA office.

Requirements

Bachelor’s degree in Environmental Engineering or relevant engineering, atmospheric science or quantitative field of study
Five (5) years of experience as a Solar Analyst, Energy Engineer, Energy Analyst or related role
Three (3) years of solar resource variability and its impact on energy estimates
Three (3) years of solar Measure Corelate and Predict (MCP) analysis
Three (3) years of fundamental solar modeling principles, familiarity in industry standard solar energy modeling software like SolarFarmer, pvlib, PVSyst, SAM
Five (5) years of uncertainty and statistical data analysis
Five (5) years of data analysis tools (Python, Pandas, Jupyter, Git, Azure DevOps, VS Code, Excel)
MS Office Word/Excel, SharePoint, Copilot
Working independently, in groups, and as leader
Streamlining processes by implementation of process improvement techniques
Managing multiple projects at a time and to approach tasks with a customer-centric mindset, with technical rigor and commercial acumen
Writing technical reports and commercial correspondence to verbally convey technical information in a clear and concise manner

Responsibilities

Conduct long-term solar resource and energy production assessments for all scales including utility-scale, distributed generation, residential, commercial & industrial, microgrids, and community solar.
Analyze climatic data and operational production and performance data from solar plants.
Conduct statistical uncertainty analyses, account for various modeling, and system losses including degradation, and derive component parameters for energy modeling.
Write technical reports and communicating results to Customers.
Manage solar energy assessment projects, including customer facing interaction, and data management.
Lead research, write papers, and present analysis on solar methods at industry conferences and workshops.
Collaborate and build networks with industry, academia, and national labs.
Lead Solar Modeling software development team.
Determine the business case for all suggested improvements implemented in Solar Modeling Software to lead to faster turnaround time on deliverables and increase automation of processes.
Prioritize all improvements and succinctly summarize in 12-month roadmap.
Engage with all stakeholders e.g. energy analysts, internal and external, regional, global, and leadership.
Support the energy assessment team by providing training or troubleshooting for data analysis tools.
Together with the internal team, develop and maintain numerical analysis in Python or other computer programming languages.
Contribute to a diverse working environment, proactively communicate to all stakeholders, give and take feedback, work independently, be accountable for the work performed and delivered.