Sr. Data Analyst

Serve Robotics • Los Angeles, CA

84d

About The Position

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Join our growing Analytics team at Serve Robotics as we pioneer the future of autonomous last-mile delivery. In this role, you’ll work cross-functionally to build reporting, uncover insights, and guide decision-making as we scale. You’ll thrive in a fast-paced, dynamic environment - balancing competing priorities while driving measurable impact. As a key member of the Analytics team, you’ll be an owner, not a passenger - defining how we measure success, guiding operations, and ensuring stakeholders have the insights they need. Your curiosity and ability to turn messy data into clear, actionable recommendations will be essential.

Requirements

• BA/BS in a quantitative field preferred.
• 4+ years of experience in an analytics role (startup or high-growth environment strongly preferred).
• Proficiency in SQL (4+ years) and comfort with scripting in Python or R.
• Strong data visualization skills using BI tools (we use ThoughtSpot and Looker Studio).
• Experience with A/B testing, experimental design, and inferential statistics.
• Strong stakeholder management and communication skills.
• Comfort leveraging AI/GenAI tools to enhance analytics workflows.

Nice To Haves

• Experience in logistics, marketplaces, or operations-heavy industries.
• Self-starter with entrepreneurial drive; able to prioritize in ambiguity.
• Experience with dbt and modern data governance practices.
• Proven ability to thrive on scrappy, fast-moving teams.

Responsibilities

• Build and maintain dashboards and models to improve visibility into operational efficiency, delivery performance, and topline metrics.
• Partner with operations, engineering, and product teams to translate business needs into data-driven solutions.
• Source and transform data creatively, even when systems are incomplete. Propose solutions and tools to streamline workflows.
• Act as an analytics thought partner, translating complex findings into simple, actionable insights for both technical and non-technical audiences.
• Help define and track key business metrics, enabling data-driven strategy across teams.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees