Senior Analytics Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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EnergyHub

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

☁️ SaaS

🏢 Enterprise

💰 $500k Debt Financing on 2012-12

Energy • SaaS • Enterprise

EnergyHub is a company that specializes in distributed energy resource management (DERMS) solutions. They help utilities to quickly scale virtual power plants (VPPs) and manage load growth and renewables, promoting reliable flexibility at every level of the grid. Their platform orchestrates cross-device energy resources like thermostats, batteries, and electric vehicles to shape loads, reduce congestion, and expand storage capacity. EnergyHub also provides end-to-end services for successful program design and management, including demand response strategies and dynamic load shaping to optimize grid performance. Their ecosystem is the largest of its kind in the industry, leveraging partnerships with DER providers to deliver effective energy solutions.

📋 Description

• Analyze large-scale EV telematics and charging data to identify driver charging behavior, program enrollment and retention, event participation, and load-shifting outcomes • Define, monitor, and improve data quality for EV OEM data feeds by identifying gaps, latency, duplicates, and anomalies; build automated checks and resolve root causes with engineering and OEM partners • Track and report trends across the EV fleet, including vehicle and charger mix, charging patterns by time and season, home versus public charging, and behavior changes related to programs and incentives • Build documentation and training materials so others can use created assets and insights independently • Identify and quantify opportunities for new EV products and program designs, partnering with product managers to validate them with data • Build and maintain data models, dashboards, and automated reporting in EnergyHub’s BI stack for product, client success, and utility clients • Collaborate with engineering, data science, product management, client success, and OEM partnership teams on business logic, requirements, and research questions • Perform other duties as assigned

🎯 Requirements

• 3+ years of experience as a data analyst • Ability to find valuable insights in large, complex datasets • Ability to infer or generate needed data from available information and clearly articulate limitations • Experience developing useful and visually compelling analytics dashboards • Experience developing automated reporting systems with business intelligence tools • Experience assessing and improving data quality • Comfortable working with messy, high-volume, time-series data from third-party sources • Ability to translate analytical findings into product or business recommendations and communicate them to technical and non-technical audiences • Ability to describe an ideal analytics schema and collaborate with data engineering to improve a data warehouse • Experience with one or more BI tools such as Tableau, Sigma, or Looker • Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery • Experience with data transformation frameworks such as dbt • Experience with data science tools such as Python/Jupyter, Julia, or R • Experience with data warehouse architecture • Passion for electric vehicles and understanding how people use them • Sponsorship of new applicants for employment authorization or other immigration-related support is not available • Preferred: Extensive experience with dbt, Snowflake, and SQL • Preferred: Experience with EV, telematics, connected-vehicle, charging, IoT, energy, or utility data • Preferred: Experience with third-party API data and partner-delivered data feeds, including data contracts and quality standards • Preferred: Strong mathematics and statistics background • Preferred: Experience supporting product discovery or go-to-market decisions with quantitative analysis

🏖️ Benefits

• 100% paid medical for employees • 401(k) with employer match • Casual environment • Flexibility to set your own schedule • Fully stocked fridge and pantry • Free Citi Bike membership • Secure bike rack • Gym subsidy • Paid parental leave • Education assistance program • Exposure to a broad spectrum of IoT, SaaS, and machine learning technologies • Opportunities to work directly with executives and develop expertise across multiple areas of the business • Real responsibility and immediate impact on marketplace technologies

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