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DLA Piper is seeking an FP&A Analyst to support strategic initiatives across the firm, delivering insightful financial reporting, forecasting, and storytelling to drive profitability. The role partners with practice groups to turn data into actionable decisions and aligns with the firm's growth plans.
It emphasizes automation and AI to enhance finance processes and analytics capabilities. Located in Reston with a hybrid schedule, the analyst will collaborate with cross‑functional teams, prepare
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The FP&A Analyst, working in collaboration with and in support of the firm’s strategic initiatives, is a technically skilled, curious, and forward-thinking professional who supports financial planning, forecasting, reporting, and insight-driven decision‑making for assigned practice groups and across the firm. This role serves as an analytical liaison between practice group leadership and the FP&A team, connecting business activity to financial results. The FP&A Analyst brings strong analytical skills, profit‑centric business acumen, and excellent written and verbal communication. The role partners with practice groups to deliver clear reporting and financial storytelling that surfaces performance drivers, risks, and opportunities. Through regular engagement, the Analyst translates analysis into actionable insights that inform strategic decisions, improve profitability, and support the firm’s long‑term growth goals. The Analyst will be directly assigned to one or more practice groups and may rotate across groups for broader development. Looking forward, this individual supports the firm’s adoption of AI in finance and professional services and is passionate about using automation and advanced analytics to improve finance processes. The Analyst is eager to grow into a Citizen Data Scientist—using modern tools, analytics, and (as appropriate) machine learning techniques to analyze data and generate insights. This role reports to the FP&A Manager.
This position is located in our Reston office and offers a hybrid work schedule.
Bachelor’s degree in Finance, Business Administration, Accounting, Data Science, Computer Science, or similar field.
2 years’ experience in finance, accounting, FP&A, or data analytics, preferably with exposure to AI/machine learning initiatives and revenue/expense management. Open to recent graduates with relevant coursework and/or internship experience.