Zipline Logo

Zipline

Senior Data Analyst

Posted Yesterday
Be an Early Applicant
In-Office
South San Francisco, CA, USA
Senior level
In-Office
South San Francisco, CA, USA
Senior level
Embed with Marketing, Commercial, and Growth teams to analyze customer behavior, define KPI frameworks, build dashboards and self-service reporting, translate analyses into recommendations, monitor performance, improve data quality, and automate recurring reporting using AI-enabled workflows to drive Platform 2 growth.
The summary above was generated by AI
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.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About You and The 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.
What You'll Bring
  • 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.
What Else You Need to Know

The starting cash range for this role is $140,000 - $180,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
 
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

HQ

Zipline South San Francisco, California, USA Office

South San Francisco, CA, United States

Zipline Half Moon Bay, California, USA Office

Half Moon Bay, United States

Similar Jobs

Yesterday
Hybrid
San Francisco, CA, USA
159K-305K Annually
Senior level
159K-305K Annually
Senior level
Fintech • Financial Services
Lead development of an enterprise AI measurement, reporting, and analytics framework. Define KPIs and reporting standards, build executive dashboards to monitor AI adoption, value realization, compliance, and operational performance. Analyze complex datasets to surface trends, drive improvements in data quality and governance, and translate insights into executive recommendations and scalable automated monitoring.
Top Skills: AIBusiness IntelligenceData ManagementGenerative AiMachine LearningReporting
3 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
83K-162K Annually
Senior level
83K-162K Annually
Senior level
Big Data • Cloud • Software • Database
Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.
Top Skills: Cloud Data WarehouseData EngineeringData ModelingData QualityData WarehousingHrisPythonRSQLTableau
Yesterday
In-Office
Mountain View, CA, USA
106K-223K Annually
Senior level
106K-223K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Lead eCommerce analytics by building dashboards and self-serve reports, measuring funnel and revenue impact, performing deep-dive analyses, integrating and validating multi-source data, defining KPI standards, supporting experimentation, using AI-assisted tools to automate reporting, and communicating insights to web, marketing, and commerce stakeholders.
Top Skills: Adobe AnalyticsMicrosoft CopilotPower BIPythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account