2027 Early Career Business Operations Associate

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 (including Salesforce, Oracle, Palantir Foundry, Databricks, and other core enterprise systems) 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.

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: You are self-driven, hyper-organized, and detail-oriented; you step into gaps proactively and follow through from insight to execution.

US Salary Range

$78,000 — $104,000 USD