Financial Analyst Intern (Fall 2026)

Zipline is the world’s largest drone delivery service, dedicated to ensuring access to essential goods globally. The Financial Analyst Intern will support Operations Finance by analyzing financial performance and collaborating with various teams to enhance operational efficiency.

What you'll do:

• Support Operations Finance with metric development, reporting, forecasting, and financial modeling
• Query and analyze large operational datasets using SQL (Snowflake experience a plus)
• Build repeatable dashboards and tools in Excel, Google Sheets, and BI platforms to drive visibility into performance
• Partner with operations leaders to understand drivers of cost, efficiency, and performance across global sites
• Support ad-hoc analyses related to operational efficiency, unit economics, and scaling strategies
• Assist in month-end processes, variance analysis, and KPI reviews
• Contribute to cross-functional initiatives involving Supply Chain, Product, and Data teams
• Help improve internal processes by identifying gaps and implementing simple automation or workflow improvements

What they're looking for:

• A strong analytical mindset with comfort getting into the details and understanding how complex operations function
• Experience with SQL, relational databases, and working with large datasets
• High proficiency in Excel and Google Sheets; ability to build and manage structured and dynamic financial models
• Strong communication skills—comfortable interacting with cross-functional partners who have diverse backgrounds and perspectives
• Ability to work with imperfect information and drive clarity in a fast-paced environment
• Strong organizational skills and a desire to create processes that bring structure and accountability
• Interest in hardware-focused or technology-enabled businesses
• Knowledge of financial statements, accounting fundamentals, and core financial analysis concepts (e.g., unit economics, scenario analysis, return on capital)
• A “general athlete” mentality—eager to jump into a wide variety of problems and learn quickly
• Snowflake experience
• Experience with dbt or modern data stacks
• Experience in technology, healthcare devices, or operations-heavy industries