Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Analyze extensive EV telematics and charging data to understand driver charging patterns, program enrollment and retention, event participation, and load-shifting results.

• Establish, oversee, and enhance data quality for EV OEM data feeds by pinpointing gaps, latency, duplicates, and anomalies; develop automated checks and work with engineering and OEM partners to address root causes.

• Monitor and report on trends across the EV fleet, including the mix of vehicles and chargers, charging behaviors by time and season, home versus public charging, and behavioral changes linked to programs and incentives.

• Create documentation and training materials to enable others to independently utilize generated assets and insights.

• Recognize and assess opportunities for new EV products and program designs, collaborating with product managers to validate these with data.

• Develop and maintain data models, dashboards, and automated reporting within EnergyHub’s BI stack for product, client success, and utility clients.

• Work in partnership with engineering, data science, product management, client success, and OEM partnership teams on business logic, requirements, and research inquiries.

• Carry out additional duties as assigned.

⛳️ Requirements

• Minimum of 3 years of experience as a data analyst.

• Proven ability to extract valuable insights from large, complex datasets.

• Capacity to infer or generate necessary data from available resources and clearly communicate any limitations.

• Experience in creating effective and visually appealing analytics dashboards.

• Background in developing automated reporting systems using business intelligence tools.

• Experience in assessing and enhancing data quality.

• Comfortable managing messy, high-volume, time-series data sourced from third parties.

• Ability to translate analytical results into product or business recommendations and convey them to both technical and non-technical audiences.

• Capability to outline an ideal analytics schema and collaborate with data engineering to enhance a data warehouse.

• Familiarity with one or more BI tools such as Tableau, Sigma, or Looker.

• Experience with cloud data warehouses like Snowflake, Redshift, or BigQuery.

• Knowledge of data transformation frameworks such as dbt.

• Proficient in data science tools like Python/Jupyter, Julia, or R.

• Experience with data warehouse architecture.

• Passion for electric vehicles and an understanding of their usage.

• Sponsorship for new applicants regarding employment authorization or immigration-related support is unavailable.

• Preferred: Extensive experience with dbt, Snowflake, and SQL.

• Preferred: Background in EV, telematics, connected vehicles, 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 foundation in mathematics and statistics.

• Preferred: Experience supporting product discovery or go-to-market decisions through quantitative analysis.

🏝️ Benefits

• 100% paid medical coverage for employees.

• 401(k) plan with employer matching.

• Casual work environment.

• Flexibility to create your own schedule.

• Fully stocked fridge and pantry.

• Complimentary Citi Bike membership.

• Secure bike storage.

• Gym subsidy offered.

• Paid parental leave.

• Education assistance program available.

• Exposure to a wide array of IoT, SaaS, and machine learning technologies.

• Opportunities to collaborate directly with executives and gain expertise across various business areas.

• Real responsibilities with immediate impact on marketplace technologies.