Financial Data Operations Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Anduril's Data & Operations team is focused on combining internal data analytics with operational processes and business systems to make insights actionable. You will collaborate with stakeholders and drive partnerships across the company to improve decision making and optimize outcomes. Your work will directly increase the velocity of the organization by becoming an expert on the most critical workflows such as staffing, supply chain, manufacturing, and field sustainment.

Responsibilities

Build sophisticated Finance tools and templates, including Excel-based solutions, data integrations, and AI-powered workflows that eliminate manual data gathering and entry; Integrate Finance workflows with data platforms by collaborating with the Analytics team to ensure end-users have easy access to clean, reliable data; Drive user adoption and enablement through office hours, bootcamps, and training on best practices for forecasting, self-serve financial data access, and application development; Proactively identify automation opportunities in Finance problems that can be solved with data; Become a trusted resource for Anduril leadership in helping them run their organizations more effectively

Requirements

4+ years of experience in a finance, operations, or data analysis role; ideally building financial models with large-scale data integrations; Motivated by Anduril's mission to solve the biggest problems in defense; Deep understanding of data stack tools: Databricks or Palantir Foundry or dbt, Redshift, Looker/Tableau, Dagster; Thrives in cross-functional projects with a heavy combination of technical requirements and user-focused workflows; Empathetic, eager to see the world from users' perspective; Energized by business impact and a self-starter who loves to drive the direction of ambiguous projects

Nice to have

Prior FP&A, financial modeling, or forecasting experience in the Defense sector; Experience with AI/LLM-powered tooling and automation in a production environment; Change management experience: launched tools that required user adoption, training, and iteration based on feedback; Experience operating in SOX compliant data platforms

Benefits

Comprehensive, competitive benefits package (available at little to no cost to employees) covering health, recovery, and more; Highly competitive equity grants included in the majority of full-time offers