Sr. Data Analyst

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.

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.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Join Serve Robotics as our Senior Analyst to revolutionize the future of autonomous last-mile delivery. In this role, you'll work cross-functionally to uncover insights, optimize processes, and drive strategic decisions to fuel our rapid growth. You’ll thrive in a dynamic, fast paced environment—balancing deep analytical rigor and competing priorities to deliver impactful recommendations.

As a key member of the analytics team, you'll help define how we measure success, guide new market expansion, and continuously improve Fleet operations. Your curiosity and ability to turn messy data into actionable insights will be essential and will directly influence real-world operations.

Responsibilities

• Build & Maintain Core Analytics: Develop dashboards, reports, and models that improve visibility into operational efficiency, market expansion, and business performance.

• Work cross-functionally: Partner with operations, product, and finance teams to ensure data needs are being met while uncovering new opportunities

• Creative Problem-Solving: Find ways to get the data you need, even when perfect solutions don’t exist.

• Forecast & Optimize: Assist with building models to predict delivery demand, optimize fleet deployment, and inform expansions.

• Be the Analytics Partner: Act as a strategic thought partner, translating complex data into actionable insights.

• Own outcomes: Define key metrics and develop data-driven strategies that drive impact across teams.

Qualifications

• BA/BS degree; quantitative field preferred.

• 6+ years of experience in an analytical role within a startup environment.

• 5+ years of SQL experience and comfortable with languages like Python or R for more involved methods, such as forecasting or inferential statistics.

• Strong data visualization skills with the ability to create compelling, actionable reports (we use ThoughtSpot and Looker Studio)

• Knowledge of geospatial analysis and techniques

• Strong foundation of A/B testing and experimental design 

• Proven stakeholder management and communication skills—capable of distilling complex analyses for technical and non-technical audiences 

What Makes You Standout

• Experience in logistics, marketplaces, or operations

• A self-starter with an entrepreneurial, get-things-done mindset

• Exceptional ability to prioritize in situations of high complexity and ambiguity 

• Experience with dbt and best practices for data governance

• Experience working with scrappy, fast-moving teams where ambiguity is the norm