Data Analyst, Corporate Operations

The Corporate 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.
Corporate Operations Analytics is embedded within this team and serves as the quantitative and analytical backbone for corporate planning. We build the dashboards, metrics, and tooling that power planning cycles, executive reviews, and day-to-day operational decision-making.

ABOUT THE JOB

We’re hiring a Data Analyst, Corporate Operations to support and scale Anduril’s corporate planning and operating cadence through high-quality analytics, visualization, and quantitative analysis. In this role, you will translate 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 you build are reliable, well understood, and continuously improving based on how they are used. This role is ideal for an early-career analyst who is technically strong, thoughtful about system design, and motivated to improve how data is used across the organization.

WHAT YOU’LL DO

• 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
• Iterate on dashboards and analytical tools by incorporating feedback from users and evolving requirements as planning processes mature.
• Perform quantitative analyses including forecasting, trend analysis, scenario modeling, variance analysis, and root-cause investigations.
• Partner with data engineering and platform teams to define data requirements, validate data quality, and ensure analytical outputs are accurate and trusted.
• Document assumptions, definitions, and methodologies to ensure metrics are understood and applied consistently across the organization.

• 1–2+ years of professional experience in an analytics-focused role (Data Analyst, Analytics Consultant, or similar).
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math) or equivalent practical experience
• Strong foundation in advanced analytics; ability to write Python, R, SQL, or other analytic languages
• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Looker, Tableau, Power BI, or similar is a plus
• 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
• Must be authorized to work in the United States