We're looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You'll design and implement data models, workflows, and analytical tools that directly improve operational performance,enabling Anduril to plan more effectively at scale.

Responsibilities

• Partner with Planning leadership and Anduril's Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalise planning workflows and data products across Anduril's production and sustainment organisations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organisations more effectively through data-driven insights.

Requirements

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• Strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• Ability to think strategically and execute tactically.
• Data-driven mindset and ability to turn analytics into action.
• Systems fluency, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle).
• Cross-functional empathy and ability to understand the needs of engineering, product, deployment, and finance.
• Comfortable with ambiguity and ability to build structure in environments that are scaling fast.
• High ownership, low ego, and value results over credit.
• Ability to anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset and ability to prioritise velocity and impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

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