Senior Analytics Engineer

EnergyHub

. Analyze large-scale EV telematics and charging data to identify driver charging behavior, program enrollment and retention, event participation, and load-shifting outcomes .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large-scale EV telematics and charging data, developing automated reporting systems, and improving data quality. Proficient in building data models and dashboards while effectively communicating insights to both technical and non-technical stakeholders.

Highest-signal resume keywords

Data AnalysisBusiness Intelligence ToolsData Quality ImprovementData Warehouse ArchitectureElectric Vehicle Insights

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Quality AssessmentAnalytics Dashboard DevelopmentData Transformation FrameworksStatistical Analysis

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

TableauSnowflakeRedshiftBigQueryDbt

Industry Keywords

Electric VehiclesTelematicsCharging DataIoTUtility Data

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudIoTPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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