Analytics Engineer - Operations

Posted Yesterday
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Las Vegas, NV
Mid level
Software
The Role
As an Analytics Engineer, you'll build analytics solutions, collaborate with Ops teams, design self-serve tools, and improve operational performance through data-driven insights.
Summary Generated by Built In

Ever wanted to tell people, “Yeah, I helped launch the future of transportation”? Well, here’s your shot. At Vay, we’re flipping the script on mobility with Remote driving—delivering cars to customers with zero hassle and zero driver inside, offering a unique by the minute car rental service. We’re already live in Las Vegas, and trust us, we’re just getting started.

Our journey so far since our launch in 2018:

Revolutionary remote driving tech- We built the world’s first commercial remote driving product.

Breaking boundaries across continents- 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.

Vegas fleet on the rise- Our vehicle fleet is scaling fast, from 20 to 100 cars in Las Vegas. We’re just getting started!

Watch our CEO, Thomas von der Ohe, deliver a live news segment on CNN - VayDrive 

Discover what drives our culture- Explore our core values

Why this role is awesome: 

This role sits at the heart of our Operations team, where data drives every decision. You’ll work closely with Ops leaders to uncover opportunities, solve real-world problems, and build data products that directly improve efficiency and performance. It’s a high-impact, hybrid role at the intersection of data engineering, analytics, and business strategy — with a direct line to shaping how our customer-facing services operate and scale.

What you'll be driving:

  • Build and own end-to-end analytics solutions — from data modeling (dbt, SQL) to dashboards and insights delivery (Superset, Grafana, Kepler)
  • Act as the go-to data partner for Operations and Mobility Product — deeply embedded in the day-to-day, working alongside Ops and Product leaders to identify opportunities, define KPIs, and continuously improve performance through hands-on, data-driven solutions
  • Focus on high-impact operational areas such as fleet readiness and uptime, maintenance performance, charging and positioning optimization, operational efficiency, and overall excellence in day-to-day execution
  • Collaborate with other data teams incl. Data Platform and Data Science to all be aligned on data practices at Vay
  • Design and maintain self-serve tools (dashboards, alerts, reporting interfaces) to empower Ops teams with real-time visibility and decision-making capabilities (e.g. Superset, Grafana, custom apps)
  • Translate business questions into data-driven solutions, blending analytics, product thinking, and operational context
  • Set up and manage lightweight operational tooling (e.g., Grafana dashboards, API integrations, observability tools)

What are we looking for: 

  • Proven track record of impact — you’ve shipped data products or analyses that directly improved business outcomes
  • Expert-level SQL skills — you write complex, performant queries with ease
  • Hands-on experience with dbt for building and maintaining data models
  • Skilled in BI tools like Superset, Looker, or similar, and in delivering clear, actionable dashboards
  • Comfortable working independently, from ideation to delivery — no hand-holding needed
  • Experience working with cloud data warehouses (e.g., Snowflake, BigQuery)
  • Familiarity with modern data tooling, including Fivetran, Airbyte, and reverse ETL tools like Hightouch
  • Able to navigate light engineering tasks, such as working with APIs, setting up visualisation tools, or configuring integrations
  • Understanding of time-series data and operational metrics, ideally with experience in observability or real-time monitoring setups
  • Nice to have

    • Experience working in fast-paced environments like startups, scale-ups, or operations-heavy businesses
    • Familiarity with scripting (Python, JS, etc.) to automate data tasks or build lightweight tools
    • Exposure to operational domains like mobility, logistics, fleet, or marketplace
    • A product mindset — you think in terms of users, feedback loops, and value, not just queries and pipelines

Why should you join Vay:

🧠 Genius level team - Work with the smartest minds from over 30 countries around the world in deep tech & automotive

🌍 Huge scope for impact in a fast paced environment

💰 Salary + stock options

🌴 Unlimited Paid Vacation Days

 🏦 401(k)

 🏥 Health, Dental & Vision Insurance 

 🏋️‍♂️ Wellness Hub free gym access & wellness app subscriptions

 🎉 Perks at Work Membership 

 🍎 Snacks & Drinks in Our Downtown Las Vegas Office 

 🎊 Fun Team Events Every Quarter

Introduction to Vay

If you want to be part of something groundbreaking, let’s chat! We highly encourage & welcome applicants from all walks of life to help us create a better future for our world 🚗💨

Top Skills

Airbyte
BigQuery
Dbt
Fivetran
Grafana
Hightouch
JavaScript
Kepler
Python
Snowflake
SQL
Superset
Am I A Good Fit?
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The Company
Berlin
114 Employees
On-site Workplace
Year Founded: 2018

What We Do

Vay's first commercial service is now live in Las Vegas, Nevada: By-minute rental cars. Delivered driverless.
Vay is the first company to drive a car without a person inside on public streets in Europe and the US, enabled by teledriving (e.g. remote driving) technology. Vay aims to launch a sustainable, affordable, door-to-door mobility service with remotely driven ("teledriven") cars: Teledrivers bring an electric car to the customer and pick it up after the journey is completed, eliminating the time-consuming search for a parking spot for the customer. While in the car, the customers drive themselves.
Vay sees teledriving as an alternative approach to autonomous driving and aims to gradually introduce autonomous functions in its system based on high-quality teledrive data.

Vay was founded in Berlin in 2018 by Thomas von der Ohe, Fabrizio Scelsi and Bogdan Djukic. Vay's team of 150+ people combines the best of two worlds - software & product experience from Silicon Valley and automotive hardware & safety engineering from Europe. The company has offices in Berlin and Hamburg, Germany, as well as in Las Vegas, USA. Vay raised a USD 95m Series B funding round.

Get the Vay app here: https://apps.apple.com/us/app/vay-rent-cars-by-the-minute/id6466818242

Apply to work for Vay in 30 seconds here: https://vayio.typeform.com/apply

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