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Senior Analytics Engineer

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: Vay
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

Senior Analytics Engineer

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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 & 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 🚀
Why this role is exciting:

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.
What we're looking for:
  • 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.
Nice to have:
  • Experience in fast-paced environments such as startups, scale-ups, or operations-heavy businesses.
  • Familiarity…
Position Requirements
10+ Years work experience
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