Senior Data Analyst

Zipline; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Zipline in San Francisco is seeking a Business Data Analyst to turn data into actionable insights that drive growth. You will be embedded in Zipline’s centralized Data Science & Analytics team, partnering with Marketing, Commercial, and Growth to translate business questions into analyses, dashboards, and recommendations that improve performance, identify opportunities, and accelerate growth.

You are comfortable working with large datasets, building intuitive reporting solutions, and

Qualifications

• 5+ years of analytics or business intelligence experience in analytics, operations, technology, logistics, eCommerce, or related environment
• Experience using AI tools to automate analytical workflows or recurring reporting
• Bachelor’s degree in a quantitative or related field
• Strong communication and business judgment, with evidence of helping technical and non-technical stakeholders act on data

Responsibilities

• Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth opportunities
• Define KPI frameworks and metric definitions for Marketing, Commercial, and Growth teams
• Build and maintain business-facing dashboards and self-service reporting for stakeholders
• Translate analysis into recommendations that inform campaign investment and growth initiatives

Skills

Advanced SQL

Python

Data storytelling

Stakeholder communication

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Redshift

Sigma

Tableau

Looker

Power BI

Python

Job description

• 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
• 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

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