Senior Data Analyst

Exclusive opportunity

Onsite

Senior Data Analyst

Zipline

Senior Data Analyst

Skills

SQL QueriesLookerE-commerce WebsitesTableauPythonData ScienceSnowflakeData AnalysisAIPower BI

1 month ago

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Important information

Contract type:

Permanent

Salary:

$140,000 – $180,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

11 September 2026

What they need

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

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