Senior Analytics Engineer at Vay

Las Vegas, Nevada, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, dbt, Business Intelligence, Data Modeling, Data Analysis, ETL Tools, APIs, Data Warehousing, Visualization Tools, Operational Metrics, Scripting, Product Mindset, Time-Series Data, Real-Time Monitoring, Data Integration, Performance Improvement

Industry

Software Development

Description

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, 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. Why you should join Vay: 🧠 Genius-level team - deep tech, automotive, and systems thinkers from 30+ countries 🌍 Huge scope for impact - your work directly shapes live operations 💰 Competitive salary + stock options 🌴 Unlimited paid vacation 🏦 401(k) 🏥 Health, Dental & Vision Insurance 🏋️‍♂️ Wellness hub (gym access & wellness app subscriptions) 🎉 Perks at Work membership 🍎 Snacks & drinks in our Downtown Las Vegas office 🎊 Quarterly team events Introduction to Vay: For more information on Vay’s physical demands, working environments and safety requirements, you can review this link. We’ll also cover anything specific to this role during the first interview. We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply. We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you 🚗💨

Responsibilities

You will own end-to-end analytics solutions and act as the primary data partner for Operations and Mobility Product. Your work will focus on identifying opportunities, defining KPIs, and delivering measurable impact across critical operational areas.