Senior Analytics Engineer

Why this role is exciting

As a Senior Analytics Engineer, you'l be sitting at the core of our Operations team, 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 are we 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 choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 Stock options: A stake in Vay’s future - not just a salary

🌴 Flexible Paid Vacation Days

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 $350 Home Office Set-up 

✈️ Relocation financial assistance when relocating to Las Vegas

🎊 Regular team events throughout the year