Senior Analytics Engineer

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: