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Financial Analyst

CAVA
Washington DC-Baltimore Areavia LinkedIn
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Financial Analyst CAVA is seeking a Financial Analyst to support financial planning, analysis, and decision-making across our growing restaurant portfolio. This role is ideal for an analyst with 1–3 years of experience who is excited to deepen their FP&A skillset in a fast-paced, operationally focused, multi-unit environment.In this role, you’ll partner closely with Finance, Accounting, Operations, and Real Estate teams to support budgeting, forecasting, variance analysis, and investment decisions at the restaurant level. You’ll work with large, complex datasets and have the opportunity to build scalable reporting, improve processes, and grow your technical and analytical capabilities.Success at CAVA:At CAVA, Individual Contributors focus on delivering high-quality work, owning tasks, and contributing to team success. We look for team members who take initiative, collaborate across teams, and stay curious about how their work supports broader goals.This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice.What You’ll Do:- Support budgeting, forecasting, and monthly performance analysis for restaurant-level labor, occupancy, and operating costs - Assist in building and maintaining financial models related to new restaurant openings, labor deployment, and cost trends - Prepare variance analyses comparing actual results to budget and forecast, identifying key drivers and insights - Own recurring performance metrics and reporting for assigned restaurant or cost categories, ensuring accuracy and consistency - Partner with Operations and Real Estate teams to understand financial impacts and support decision-making - Help improve data accuracy, automate recurring reports, and streamline financial planning and reporting processes - Build and maintain scalable reports and dashboards using tools such as Excel, Tableau, or Power BI - Work with data s
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