Business Data Analyst

Zipline • South San Francisco, CA

20h

About The Position

Zipline is building an autonomous delivery system that moves medical supplies, food, and retail products where people need them. As Platform 2 scales, Marketing, Commercial, and Growth teams need a shared, trusted view of customer behavior, commercial performance, and where to focus investment. As an embedded partner within the centralized Data Science & Analytics team, you will own the measurement, analysis, and reporting that moves those questions into business action. You will help leaders prioritize campaigns, commercial opportunities, and growth initiatives while building durable performance visibility for a growing autonomous delivery business.

Requirements

• 3+ years of experience delivering analytics or business intelligence work in analytics, operations, technology, logistics, eCommerce, or a related environment.
• Advanced SQL proficiency and experience querying complex relational datasets.
• Experience building business-facing dashboards in Sigma, Tableau, Looker, Power BI, or a similar platform.
• Familiarity with data warehouses such as Snowflake or Redshift and a scripting language such as Python.
• Ability to turn ambiguous commercial or growth questions into rigorous analyses, clear measurement approaches, and actionable recommendations.
• Strong communication and business judgment, with evidence of helping technical and non-technical stakeholders act on data.
• Experience using AI tools to automate analytical workflows or recurring reporting, plus a bachelor’s degree in a quantitative or related field.

Responsibilities

• Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth opportunities.
• Define KPI frameworks and metric definitions that give Marketing, Commercial, and Growth teams a consistent view of progress against strategic priorities.
• Build and maintain business-facing dashboards and self-service reporting that stakeholders use to assess performance and plan action.
• Translate analysis into recommendations that inform campaign investment, commercial prioritization, growth initiatives, and strategic tradeoffs.
• Monitor performance to identify material trends, risks, and opportunities requiring a decision or change in business approach.
• Partner with Data Science, Product, and business teams to improve data quality, reporting capabilities, and analytical processes.
• Use AI-enabled workflows to automate recurring reporting and analysis, reducing manual work and improving the speed of insight delivery.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level