Data Analyst, Corporate Operations

Anduril Anduril · Defense · Costa Mesa, CA · Corporate Operations : Corporate Operations : Revenue Operations & Corporate Planning

This role supports and scales Anduril's corporate planning and operating cadence through high-quality analytics, visualization, and quantitative analysis. The Data Analyst will translate planning and operational questions into metrics, dashboards, and analyses that inform decision-making. Responsibilities include building and maintaining dashboards, scorecards, and analytical tools, performing quantitative analyses, and partnering with data engineering teams to ensure data quality and accuracy.

What you'd actually do

  1. Build and maintain dashboards, scorecards, and analytical tools that track performance against plan and surface relevant risks, to be used in recurring planning and operating reviews
  2. Iterate on dashboards and analytical tools by incorporating feedback from users and evolving requirements as planning processes mature.
  3. Perform quantitative analyses including forecasting, trend analysis, scenario modeling, variance analysis, and root-cause investigations.
  4. Partner with data engineering and platform teams to define data requirements, validate data quality, and ensure analytical outputs are accurate and trusted.
  5. Document assumptions, definitions, and methodologies to ensure metrics are understood and applied consistently across the organization.

Skills

Required

  • 1–2+ years of professional experience in an analytics-focused role
  • Degree in a quantitative or analytical field or equivalent practical experience
  • Strong foundation in advanced analytics
  • Ability to write Python, R, SQL, or other analytic languages
  • Demonstrated ability to work cross-functionally, aligning diverse stakeholders and driving outcomes
  • Ability to thrive in a fast-paced ambiguous environment, balancing detail orientation with strategic judgment

Nice to have

  • Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Looker, Tableau, Power BI, or similar

What the JD emphasized

  • analytics-focused role
  • quantitative or analytical field
  • advanced analytics
  • business-facing dashboards and visualizations
  • technical
  • system design
  • analytical outputs are accurate and trusted