Senior Analytics Engineer
New
E
EnergyHubEnergy analytics
Remote - United StatesFull-TimeSenior
Salary130,000 - 170,000 USD per year
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Job Details
- Experience
- 3+ years of experience as a data analyst
- Required Skills
- SQLSnowflakeTableaudbtLooker
Requirements
- Have 3+ years of experience as a data analyst.
- Develop analytics dashboards that are useful and visually compelling.
- Develop automated reporting systems with business intelligence tools.
- Assess and improve data quality, including working with messy, high-volume time-series data from third-party sources.
- Translate analytical findings into product or business recommendations and communicate them to technical and non-technical audiences.
- Describe analytics schema needs to data engineering teams and collaborate on improving a data warehouse.
- Have experience with one or more BI tools, such as Tableau, Sigma, or Looker.
- Have experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery; data transformation frameworks such as dbt; and data science tools such as Python/Jupyter, Julia, or R.
- Have experience with data warehouse architecture.
- 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 feeds, data contracts, and quality standards.
- Preferred: strong mathematics and statistics background or experience supporting product discovery or go-to-market decisions with quantitative analysis.
Responsibilities
- Analyze EV telematics and charging data to surface insights into driver behavior, program performance, and load shifting.
- Define, monitor, and improve data quality for EV OEM feeds by identifying gaps, latency, duplicates, and anomalies.
- Build automated checks and work with engineering and OEM partners to resolve data-quality root causes.
- Track fleet trends, including vehicle and charger mix, charging patterns, and home versus public charging.
- Create documentation and training materials so others can use analytics assets and insights.
- Identify and quantify opportunities for EV products and program designs, and partner with product managers to validate them with data.
- Build and maintain data models, dashboards, and automated reporting in EnergyHub's BI stack.
- Collaborate with engineering, data science, product management, client success, and OEM partnership teams on business logic, requirements, and research questions.
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