Data Analyst, Labs

Job highlights

• Experience with Sigma Computing is preferred
• You have some experience in python or similar programming languages to build ETL pipelines

Come help us redefine last-mile logistics through robotics, automation, andother advanced technologies! DoorDash Labs is an independent team inside of DoorDash incubating long-term bets and exploring new technologies that can be applied to transform last-mile logistics. We believe in the value of advanced technologies and strive to build meaningful applications of next-generation hardware and software to impact real-world needs.

We re looking for a data analyst to help bring autonomous robots and other high-tech automation products to market, at scale.

Youre excited about this opportunity because you will

• Own analytics and insights across multiple technical and product areas, ensuring data is structured to support clear measurement of business and product performance.
• Define a strategy for commercial, operations, and autonomy insights to drive product improvements and answer critical business questions.
• Report in directly with the product management team, and support a world-class team of engineers and business leaders to bring autonomous solutions to market
• Use your skill in understanding and synthesis of data to create high value visualization and dashboards
• Act as the primary data analytics partner for stakeholders across engineering, product, and leadership, helping to translate complex business questions into measurable data solutions.

Were excited about you because

• You have a Bachelor s degree in business administration, economics, computer science, management information systems, or related field or equivalent related experience
• You have 3-6 years of experience in data analytics or business analytics
• You have experience with data bases in Redshift, Oracle, Trino, Snowflake, or other similar systems
• You are a SQL expert, and have experience with multiple data visualization or business intelligence tools. Experience with Sigma Computing is preferred.
• You have some experience in python or similar programming languages to build ETL pipelines.
• Identifying how data can be structured and leveraged to drive meaningful insights.
• You excel at defining meaningful metrics and KPIs, ensuring data is structured and accessible for ongoing reporting, dashboarding, and deeper analytics."
• You want to own insights across team and technology stack, including supporting product development, operations, and commercialization.
• You proactively engage with stakeholders to understand business challenges.