Senior Analytics Engineer (EV)

Location: Remote - United States; other location: Brooklyn, New York.

Base salary: $130,000–$170,000 USD annually.

Company

hirify.global helps utilities and customers create a clean, distributed energy future by turning smart thermostats, EVs, batteries, and other products into virtual power plants.

What you will do

• Analyze large-scale EV telematics and charging data from OEM and charger integrations to identify driver behavior, program performance, participation, retention, and load-shifting outcomes.
• Define, monitor, and improve data quality across third-party EV data feeds, including gaps, latency, duplicates, anomalies, automated checks, and root-cause resolution.
• Track EV fleet trends across vehicle and charger mix, charging timing and seasonality, home versus public charging, and behavioral changes driven by programs and incentives.
• Build and maintain data models, dashboards, and automated reporting in the BI stack for product, client success, utilities, and other stakeholders.
• Identify and quantify opportunities for EV products and program designs, partnering with product managers to validate opportunities with data.
• Collaborate with engineering, data science, product management, client success, and OEM partnership teams on business logic, requirements, research questions, documentation, and training materials.

Requirements

• 3+ years of experience as a data analyst.
• Ability to find valuable insights in large, complex datasets and infer or generate missing data while clearly explaining inference limitations.
• Experience building useful, visually compelling analytics dashboards and automated reporting systems with BI tools.
• Experience assessing and improving data quality in 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 to data engineering teams and collaborate on improving a data warehouse; experience with data warehouse architecture.
• Experience with one or more BI tools such as Tableau, Sigma, or Looker; cloud data warehouses such as Snowflake, Redshift, or BigQuery; transformation frameworks such as dbt; and data science tools such as Python/Jupyter, Julia, or R.
• Interest in electric vehicles, user behavior, and a carbon-free distributed energy future.

Nice to have

• Extensive experience with dbt, Snowflake, and SQL.
• Experience with EV, telematics, connected-vehicle, charging, IoT device, energy, or utility data.
• Experience with third-party APIs and partner-delivered data feeds, including data contracts and quality standards.
• Strong mathematics and statistics background for supporting clients and collaborating with data scientists.
• Experience supporting product discovery or go-to-market decisions with quantitative analysis.

Culture & Benefits

• Collaborative environment with opportunities to learn from colleagues and work directly with executives.
• Immediate responsibility and exposure to IoT, SaaS, machine learning, distributed fault tolerance, device control optimization, and scalable downstream API interactions.
• Flexible schedule and casual work environment.
• 100% employer-paid medical coverage, 401(k) with employer match, paid parental leave, and education assistance.
• Additional benefits include a stocked fridge and pantry, free Citi Bike membership, secure bike rack, and gym subsidy.
• New applicants will not receive employment-authorization sponsorship or other immigration-related support.

Hiring process

• hirify.global is not accepting resumes from recruiters or employment agencies without a previously signed agreement.
• Reasonable accommodations are available for candidates with disabilities during the application process.