Silicon Valley Clean Energy→
Demand Flexibility Analytics Intern at Silicon… · Sunnyvale
InternshipHybridSunnyvale,CA
Skills
pythonrpandasjupyter notebookvs codesqlcloud-based data warehousesmicrosoft power bitableaulooker studiogitgithubdata wranglingdata quality validationenergy marketsdistributed energy resourcesvirtual power plantsdemand flexibility
Job Description
Summary: Silicon Valley Clean Energy (SVCE) is a Community Choice Energy provider committed to providing renewable electricity. The Demand Flexibility Analytics Intern will support flexibility initiatives by conducting research and delivering analytical insights, focusing on developing dashboards and analyzing demand flexibility solutions for the grid and customers.
Responsibilities:
- Build 1–2 Microsoft Power BI dashboards that calculate and visualize the monetary value of demand flexibility resources to SVCE across different end-use loads and customer capabilities. Leverage SVCE’s cloud-based data warehouse using SQL, Python, and Git to analyze and interpret large datasets
- Research load flexibility solutions across customer classes, rates, building sizes, and end-use applications
- Develop and maintain a research catalog of emerging technologies and industry trends to share with internal stakeholders
Required Qualifications:
- Proficiency in analyzing large and complex datasets using Python or R (e.g., pandas, Jupyter Notebook, VS Code)
- Experience using SQL to extract, manipulate, and aggregate data from cloud-based data warehouses
- Experience with data visualization tools such as Power BI, Tableau, or Looker Studio
- Familiarity with Git/GitHub and version control best practices
- Experience with data wrangling and validating data quality across multiple data sources
- Strong analytical thinking and curiosity in generating actionable insights and recommendations
- Rising senior, recent graduate, or graduate student pursuing a degree in a quantitative field such as Information Systems, Energy Systems, Engineering, Mathematics, Economics, Data Science, or a related discipline
- Valid California Class C driver's license required
- Ability to perform standard office-based physical activities with reasonable accommodations
Preferred Qualifications:
- Graduate students preferred
- Preferred familiarity with energy markets, distributed energy resources (DERs), Virtual Power Plants (VPPs), and/or demand flexibility concepts
Required Skills: Python, R, pandas, Jupyter Notebook, VS Code, SQL, Cloud-based data warehouses, Microsoft Power BI, Tableau, Looker Studio, Git, GitHub, Data wrangling, Data quality validation, Energy markets, Distributed energy resources, Virtual Power Plants, Demand flexibility