2027 Early Career Business Operations Associate
Anduril Industries
About the Role
Anduril Industries is a defense technology company.
Key Responsibilities
- Build Repeatable Analytics Workflows: Design, execute, and automate high-quality, repeatable data models and analytical pipelines to track critical operational, business, and financial metrics.
- Drive Business Decision-Making: Partner closely with leadership and functional stakeholders to deliver actionable insights, evaluate operational trade-offs, and guide strategic decisions through data synthesis.
- Data Visualization & Dashboarding: Develop clear, self-service dashboards and visualization frameworks that equip functional teams with the tools and metrics to monitor and improve their processes.
- Executive Storytelling: Translate complex analyses into clean, executive-ready presentations, reports, and narratives, with results presented directly to senior leadership teams.
- System & Tool Deep-Dives: Work deeply within our data tools and business infrastructure to execute scrappy analyses on short timelines and build robust data pipelines over the long term.
- Drive Operational Excellence: Proactively identify friction and process bottlenecks across the organization, using quantitative analysis to drive sustainable operational solutions.
Requirements & Tech Stack
- Must be pursuing or have recently completed a bachelor’s or master’s degree in Business Operations, Business Analytics, or a related field.
- Must be a U.S. Person due to required access to U.S. export-controlled information or facilities; U.S. clearance eligibility may be required depending on program.
- Able to start full time in 2027.
Preferred Qualifications
- Experience with Business Analytics and Data Visualization: Ability to structure ambiguous operational problems, manipulate large datasets, and present data visually to influence decisions.
- Enterprise Data Tooling: Exposure to querying and working within modern data and analytics platforms (e.g., Salesforce, Oracle, Palantir Foundry, Databricks, SQL, or equivalent enterprise data environments).
- High Fluency in Excel & PowerPoint: Capability in Excel (modeling, pivot tables, data manipulation) and PowerPoint (building polished narrative decks).
- High Ownership & Bias for Action: Self-driven, hyper-organized, and detail-oriented; step into gaps proactively and follow through from insight to execution.