Senior Analytics Engineer
Listed on 2025-12-31
-
IT/Tech
Data Analyst, Data Science Manager
Senior Analytics Engineer
Join to apply for the Senior Analytics Engineer role at Vay
Get AI-powered advice on this job and more exclusive features.
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.
- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & one of only two companies in the States operating a commercial driverless service.
- We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the Bay Area, 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 🚀
This role sits at the core of our Operations team in Las Vegas, 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.
- Move fast, iterate often, and take ownership — balancing pragmatic delivery with building scalable, long‑term data foundations.
- 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, Big Query).
- Familiarity with modern data tooling, including:
- ETL / reverse ETL tools (Airbyte, Hightouch)
- Data flow / integration tools (NiFi, Open Flow)
- 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.
- Experience in fast-paced environments such as startups, scale-ups, or operations-heavy businesses.
- Familiarity…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).