2027 Finance Data Analyst Intern

Anduril • Costa Mesa, CA

2d

About The Position

Anduril Industries is seeking a Finance Data Analyst Intern for its Enterprise SG&A team within Corporate Finance. The team builds and maintains the data pipelines, automations, dashboards, and AI tools that support finance teams in planning, forecasting, reporting, and closing. The intern will work with real financial data and deliver tools used by finance teams and department owners, with opportunities to contribute to a variety of projects spanning finance, data, and AI.

The role involves using SQL and Python with Anduril's Databricks financial data warehouse, improving finance workflows through automation and AI, and building dashboards and data checks. The intern will partner with FP&A, Accounting, and business owners to understand existing processes, identify bottlenecks, and develop and document improvements. Projects may be carried from initial concept through building, testing, handoff, and ongoing refinement.

Applicants must be pursuing a relevant bachelor's or master's degree and graduating between December 2027 and June 2028. They must be authorized to work in the United States. The position requires working knowledge of SQL and Python, strong Excel skills, basic financial statement knowledge, fluency with AI tools and prompt engineering, attention to detail, communication skills, and comfort with ambiguity and multiple concurrent projects.

The salary range is not specified in the posting. The posting notes that highly competitive equity grants are included in the majority of full-time offers and that Anduril provides top-tier benefits for full-time employees; details are available through the company's benefits information.

Requirements

• Currently pursuing a bachelor's or master's degree in Finance, Accounting, Economics, Data Science, Statistics, Computer Science, Information Systems, or a related field.
• Expected graduation between December 2027 and June 2028.
• Working knowledge of SQL and Python.
• Strong Excel skills and ability to build clean, traceable models.
• Basic understanding of financial statements and how a P&L is built.
• Fluency with AI tools such as Claude, ChatGPT, Copilot, or similar, including prompt engineering and knowing when AI output needs human review.
• Strong attention to detail and comfort being held accountable for accurate numbers.
• Clear written and verbal communication, including explaining technical work to non-technical stakeholders.
• Comfort with ambiguity and managing several projects at once in a fast-moving environment.
• Must be authorized to work in the United States.

Nice To Haves

• Experience with Databricks, Snowflake, or another cloud data platform.
• Experience building AI agents, LLM-powered tools, or reusable prompt workflows.
• Experience building bots, APIs, or automations, such as Slack apps, scheduled tasks, or workflow tools.
• Exposure to data visualization tools such as Tableau or Power BI, or experience building simple web dashboards.
• Coursework or projects in forecasting, time series, or statistical modeling.
• Familiarity with ERP or EPM systems such as Oracle Fusion or Oracle EPM.
• Prior internship in FP&A, accounting, data analytics, or finance systems.
• Interest in defense, aerospace, or national security.

Responsibilities

• Build and maintain automations for month-end close, reporting, and planning workflows.
• Use SQL and Python with the Databricks financial data warehouse to retrieve, clean, and analyze general ledger, vendor, and headcount data.
• Design self-service dashboards and tools for finance partners and department owners.
• Apply AI to finance workflows by building prompts, agents, and reusable skills, and testing outputs for accuracy before they reach users.
• Set up scheduled tasks and data refreshes for recurring deliverables.
• Work with FP&A, Accounting, and business owners to understand current processes, identify bottlenecks, and design and document improvements.
• Build checks to detect data issues, including miscoded charges, duplicate spend, and breaks between source systems.
• Take projects from initial concept through development, testing, and handoff, and improve them after launch.
• Look for opportunities to turn one-time analyses into repeatable tools and investigate upstream causes of data issues.

Benefits

• Top-tier benefits for full-time employees, described as comprehensive and competitive and available at little to no cost to employees.
• Highly competitive equity grants are included in the majority of full-time offers.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern