Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
- We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US.
- We've completed 10's of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
- ...And soon we'll be expanding across the US & Europe
Why this role is exciting
As a Senior Analytics Engineer, you'l be sitting at the core of our Operations team, where data drives day-to-day decisions. You'll work directly with onsite operational leaders to identify opportunities, solve real-world problems, and build analytics products that materially improve performance, efficiency, and customer experience.
This is a high-impact, hybrid analytics engineering / business intelligence role. You won't be buried in dashboards no one uses. You'll shape how our customer-facing services operate and scale, with a direct line between your work and operational outcomes., * 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
- Drive continuous performance improvement
- Deliver measurable impact across critical operational areas including:
- Fleet readiness
- Maintenance performance
- Charging and vehicle positioning optimization
- 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
Do you have experience in Scripting?, * 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)
- Data flow / integration tools (NiFi, OpenFlow)
- Comfortable handling light engineering work, such as:
- Working with APIs
- Configuring visualization tools
- Setting up integrations
- Solid understanding of time-series data and operational metrics, ideally with exposure to observability or real-time monitoring.
Nice to have
- Experience in fast-paced environments such as startups, scale-ups, or operations-heavy businesses.
- Familiarity with scripting (Python, JavaScript, etc.) for automation or lightweight tooling.
- Exposure to operational domains like mobility, logistics, fleet, or marketplaces.
- A strong product mindset: you think in terms of users, feedback loops, and delivered value, not just queries and pipelines.