Senior Analytics Engineer

About the role

Ever imagined saying, “I helped launch the future of transportation”?

We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first Remote Driving technology on real public streets.

We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.

What’s happening at Vay

- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World.

- 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 over 150,000 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.

If you want ownership, visibility, and impact, this role delivers all three.

What you'll be driving

- 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.