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Data Analytics (Corporate Planning & Operations)

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Onsite

Data Analytics (Corporate Planning & Operations)

Anduril Industries

Data Analytics (Corporate Planning & Operations)

Skills

SQL QueriesLookerData EngineeringTableauReactTypescriptPythonData AnalysisdbtFinancial Planning

1 month ago

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Important information


Contract type:

Permanent

Salary:

$113,000 – $140,000 / year

Location:

United States

Work mode:

Onsite

Published on:

24 September 2026

What they need


  • The Corporate Planning & Operations team builds and defines how the company plans, forecasts, and makes operational decisions across teams, turning strategy into day-to-day execution
  • We sit at the center of the business and take on high-impact, often ambiguous problems that directly affect growth, efficiency, and how the business scales. That means deep-dive analysis, process re-design, and building pragmatic solutions that make the company run better
  • We work closely with senior leaders, move quickly, and focus on outcomes. This is a team for people who like solving hard problems, building and iterating, and leaving things better than they found them
  • The Data Analytics arm serves as the analytical and data engineering backbone for corporate planning. We build the dashboards, metrics, and tooling that power planning cycles, executive reviews, and day-to-day operational decision-making
  • We’re hiring a Data Analytics, Corporate Planning & Operations to support and scale Anduril’s corporate planning and operating cadence through high-quality data engineering, visualization, and quantitative analysis
  • In this role, you will lead the direction for translating planning and operational questions into metrics, dashboards, and analyses that inform decision-making
  • You will be responsible not only for producing rigorous analytical work, but also for ensuring the analytics products the team owns are reliable, well understood, and have a solid roadmap for improvement and added functionality into the future
  • You will also bring structure, visibility, and disciplined execution to the team
  • This role is ideal for someone who is technically strong, thoughtful about system design, scrappy and has experience employing these skills in high visibility, heavily cross-functional environments
  • Build and iterate dashboards and analytical tools that drive recurring planning and operational reviews. Overlay quantitative analytics on data-sets and design tooling for forecasting, trend analysis, and scenario planning
  • Drive roadmap of new initiatives from ideation through adoption — incorporate feedback from users and evolving requirements as planning processes mature. Serve as a key thought partner to other leads across the team on data unlocks & systematic improvements that would future-proof & scale current processes
  • Partner cross-functionally with data engineering and platform teams to develop a deep understanding of company-wide data tools, taxonomies, ontologies & best practices
  • Facilitate documentation and knowledge transfer so architecture decisions, dependencies, assumptions, and best practices remain accessible and durable
  • Continuously improve how the team plans, tracks, and communicates its work while adapting quickly to changing business priorities

Benefits

  • Full Family Health Coverage
  • 16 Weeks Paid Parental Leave for All Caregivers
  • Family Planning & Support
  • Incentivized Time Off
  • Mental Health Resources
  • Financial Planning
  • Unlimited Provisions
  • Professional Development- You’re deeply intellectually interested in the intersection of analytics and the real, operational, business world and are motivated by Anduril’s mission
  • 4+ years work experience in technical operating roles, working on user-facing processes and applications
  • Engineering fundamentals - Computer Science, Engineering, Physics or similar background
  • Coding experience - used python, SQL, react, typescript or equivalent
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
  • Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry

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