Senior Data Analyst
Listed on 2026-08-11
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IT/Tech
Data Analyst, Business Intelligence, Business Systems & Technology Analysis
About Zipline
Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
About You AndThe Role
Zipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the world. As we continue to scale our Platform 2 (P2) business, we are looking for a Business Data Analyst to help turn data into actionable insights that drive growth.
As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will help teams make better decisions by translating business questions into analyses, dashboards, and recommendations that improve performance, identify opportunities, and accelerate growth.
This role is ideal for someone who enjoys combining technical expertise with business curiosity. You are comfortable working with large datasets, building intuitive reporting solutions, and communicating complex findings in ways that inspire action. You are excited by the opportunity to use modern analytics and AI tools to automate manual work, improve visibility, and help Zipline scale efficiently.
What You'll Do- 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.
- 5+ 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.
The…
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