EnergyHub is a dynamic software technology company based in New York, NY. EnergyHub's platform lets consumers turn their smart thermostats, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to more than a million people through partnerships with the most exciting companies in the 'internet of things.'​ EnergyHub is an independent subsidiary of Alarm.com, the leading technology provider of connected home solutions.

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

In order to transform that data into valuable solutions for the energy industry, EnergyHub seeks to hire a Senior Data Analyst to join the team in developing best-in-class visualizations and reporting systems for massive amounts of data from smart devices being managed by us and our clients with the goal of grid decarbonization. Your work will enable both internal and external users to develop a deep understanding of how EnergyHub's software platform solves real-world energy challenges by building and managing virtual power plants (VPPs). The ideal candidate for this role is passionate about data analytics and seeks to apply their skills towards solving the climate crisis.

Main Responsibilities

• You will help further develop the Business Intelligence (BI) / data analytics system within EnergyHub's platform, including designing and building dashboards and reports and developing and maintaining data models and data quality procedures to ensure accuracy and timeliness of data.
• You will collaborate with engineering teams, data scientists, product managers and client success managers to help develop business logic and detailed system requirements and to help identify and answer research questions of interest to the company and our clients.
• You will become an expert in smart device data and the aggregation of such into VPPs; including that of electric vehicles, smart thermostats, EV chargers, batteries, solar inverters, etc.
• Other duties as assigned

Key Skills and Experience

• You are passionate about finding valuable insights in large, complex datasets
• 3+ years of experience as a data analyst and have previously worked in a multi-person business intelligence team
• When you can't find the data that you need, you are creative enough to infer and/or generate the data needed from other information that is available
• You are skilled at developing analytics dashboards and data visualization that are useful and visually compelling.
• You have an understanding of and can develop basic statistical models and perform complex data analysis to surface insights or inform decisions.
• You have experience developing automated reporting systems with business intelligence tools
• You enjoy communicating with others and and developing real relationships with colleagues, clients and external partners
• You are excited about the opportunities of working with very large datasets from disparate sources
• You have the ability to describe your ideal analytics schema to data engineering team members and work with them to improve a data warehouse
• You are share our vision of a carbon-free distributed energy future
• You are passionate about empowering users through timely, accurate and actionable data
• You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R)
• You have a deep understanding of data warehouse architecture

Preferred Skills and Experience

• Extensive experience with dbt / Snowflake / SQL
• A strong background in mathematics and statistics in order to provide support to clients who need to understand complex statistics and to collaborate with data scientists who will use the analytics platform for statistical analysis