Responsibilities

📍Serve as an expert on Meta's energy and renewable data foundation, responsible for integrating multiple data sources to create a single-source-of-truth database 📍Conceptualize and own the data architecture on behalf of the global energy team in collaboration with data science and engineering teams 📍Apply the data foundation to support various analytical workstreams to inform Meta’s energy usage and renewable strategy in key US and European energy markets 📍Shepard the design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 📍Engage with multiple stakeholders to further integrate energy data within Meta's data infrastructure and create scalable tooling to support growth 📍Create advanced analytical models to forecast energy usage and cost, and dissect market risks, either by collaboration or individual work 📍Support the delivery of monthly and annual summaries of key energy metrics to the 📍Global Energy team and internal stakeholders

Minimum Qualifications

📍Bachelor's degree in a relevant technical field, finance or business discipline, or equivalent practical experience. 📍7+ years of relevant work experience using data analytics to answer energy and electricity market questions. 📍Experience applying quantitative methodologies to analyze the energy market risks and opportunities. 📍Experience collaborating with data engineers and data scientists and building productive cross-functional relationships. 📍Hands-on experience analyzing and interpreting energy usage data, electric tariffs, wholesale energy market data, and renewable energy data. 📍Experience in managing multiple work streams concurrently and prioritize workflows.

Preferred Qualifications

📍Experience working with electric utilities, large energy consumers, energy service providers or consultancies. 📍Experience with Tableau or other data visualization software. 📍Previous experience with data center energy analytics. 📍Advanced data skills such as ETL. 📍Advanced database management skills using SQL and/or experience manipulating data using programing language such as Python, and/or experience using large data sets to build data models.