About The Position

The Growth Strategy Associate will help forecast Anduril’s real estate space needs and build the data tools used for strategic planning. The role is part of the Strategic Real Estate planning team, reports to the Director of Strategic Real Estate, and works closely with the Portfolio Planning & Strategy Lead. The position focuses on building and operating models that convert headcount and program plans into demand and supply forecasts, tracking site utilization, and preparing analysis for division leaders and the C-suite. Prior real estate experience is helpful but not required; real-world experience using LLMs at work is required.

Requirements

  • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Engineering, or Finance; a non-quantitative degree is acceptable with demonstrated technical ability.
  • 2–4 years of experience in data science, analytics, consulting, FP&A, capacity planning, or real estate.
  • Regular use of LLMs at work, including building with an API, agent framework, or automated workflow.
  • Interest in data science demonstrated through work or personal projects.
  • Clear written and verbal communication with non-technical stakeholders.
  • Ability to travel up to 10%.
  • U.S. citizenship required.
  • Eligibility for security clearance preferred.

Nice To Haves

  • Experience with Palantir Foundry, Databricks, Snowflake, or dbt.
  • Background in forecasting methods such as time series, Monte Carlo, or sensitivity analysis.
  • Exposure to real estate, workforce planning, or manufacturing operations.
  • Comfort building financial models in Excel.
  • Familiarity with Git and code review.
  • Eligibility for security clearance.

Responsibilities

  • Build and maintain models for quarterly portfolio forecasts, integrating headcount and program plans from Finance, Corporate Operations, and business divisions; reconcile conflicting inputs and produce 5–10 year outlooks by division, workforce type, and region.
  • Track plan versus actual results between forecast versions and explain changes.
  • Forecast office, R&D, and production space demand against current and committed supply, and size gaps by market and year.
  • Model scenarios such as program wins and losses, mergers and acquisitions, and relocations.
  • Build and maintain utilization metrics, including square feet per head, seat ratios, cost per seat, and production space relative to output; investigate sites with unusual metrics.
  • Work with Talent and People teams on hiring velocity, workforce mix, and in-office patterns, and use findings to inform location strategy and site timing.
  • Extend the planning data pipeline in Palantir Foundry using Python and SQL, with version-controlled datasets and automated validation.
  • Build LLM-based tools and agents to automate data extraction, reconciliation, analysis, and slide production, and help the team use them.
  • Prepare slides and memos for leadership reviews and present work to division leaders.

Benefits

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