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SeniorFull-timeJavaScriptPythonJavaData ScienceData
Salary Range
$92,820 - $125,580 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Analytics Engineer to join our Operations team at Vay, a company revolutionizing urban mobility with remote driving technology. This role involves building analytics products that improve performance, efficiency, and customer experience.
Key Responsibilities
- →Own end-to-end analytics solutions, from data modeling (SQL, dbt) through to dashboards and insight delivery (Superset, Grafana, Dekart).
- →Act as the primary data partner for Operations and Mobility Product, working closely with Ops and Product leaders to identify opportunities, define and refine KPIs, and drive continuous performance improvement.
- →Deliver measurable impact across critical operational areas including fleet readiness, maintenance performance, charging and vehicle positioning optimization, and overall operational efficiency.
- →Design and maintain self-serve dashboards, alerts, and reporting interfaces that give Ops teams real-time visibility and decision-making power.
- →Translate business and operational questions into actionable, data-driven solutions using strong domain context and product thinking.
- →Collaborate with Data Science teams to align on data practices, tooling, and standards across Vay.
- →Move fast, iterate often, and take ownership, balancing pragmatic delivery with building scalable, long-term data foundations.
Requirements
- ✓Strong end-to-end analytics ownership: you’ve taken data products from concept through to production.
- ✓Proven track record of impact: your work has directly improved business or operational outcomes.
- ✓Expert-level SQL skills: complex, performant queries are second nature.
- ✓Strong experience with dbt: including designing sustainable, reusable data models.
- ✓Proficiency with BI tools such as Superset, Looker, or similar, and a sharp eye for clear, actionable dashboards.
- ✓Comfortable working autonomously
- ✓Experience with cloud data warehouses (e.g. Snowflake, BigQuery).
- ✓Familiarity with modern data tooling, including ETL / reverse ETL tools (Airbyte, Hightouch) and data flow / integration tools (NiFi, OpenFlow).
- ✓Comfortable handling light engineering work, such as working with APIs, configuring visualization tools, and setting up integrations.
- ✓Solid understanding of time-series data and operational metrics, ideally with exposure to observability or real-time monitoring.
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