DLA Piper

FP&A Analyst

NEW YORK, NYPosted 18 days ago

Job summary

  • Job post source

    This job is directly from DLA Piper

  • Job overview

    The FP&A Analyst at DLA Piper supports financial planning, forecasting, and reporting, with a focus on AI innovation to enhance finance processes and drive profitability insights.

  • Responsibilities and impact

    The analyst monitors revenue activities, develops financial models, collaborates on profit-centric analysis, prepares financial reports, provides scenario analysis, streamlines processes, deploys AI tools, and supports ad-hoc financial requests.

  • Compensation and benefits

    The salary range is $77,370 to $107,117 annually depending on location and qualifications, with benefits including medical, dental, vision insurance, and a 401(k) plan.

  • Experience and skills

    Requires at least 1 year of data analytics experience, preferably with AI/machine learning exposure and revenue/expense management; a bachelor's degree in finance, business, accounting, data science, or related fields is needed; skills in Python, SQL, Power BI, or similar tools are a plus.

  • Career development

    Opportunities include growth into a Citizen Data Scientist role, learning AI tools, and developing advanced financial and data analytics expertise within a leading law firm.

  • Work environment and culture

    DLA Piper promotes a collaborative, supportive, and innovative culture valuing communication, responsiveness, and adherence to firm values, with a hybrid work environment in Reston or New York offices.

  • Company information

    DLA Piper is a global law firm known for boldness and innovation, especially in adopting AI in legal and financial operations, committed to client excellence and employee development.

  • Team overview

    The FP&A analyst will work closely with finance, expense, and data analytics teams, contributing to AI knowledge sharing and cross-functional collaboration.

  • Job location and travel

    The position is based in Reston or New York with a hybrid work schedule combining remote and in-office work.

  • Application process

    Applicants must apply online directly; agency applications are not accepted; accommodations are available upon request via email to the firm's careers address.

  • Unique job features

    The role uniquely integrates AI and machine learning tools into financial planning processes, offering a chance to develop as a Citizen Data Scientist and work at the forefront of AI in finance within a law firm.

Company overview

DLA Piper is a global law firm that provides a wide range of legal services to clients across various industries, including corporate, real estate, litigation, intellectual property, and regulatory matters. The firm generates revenue through legal fees, offering expertise in complex transactions, dispute resolution, and advisory services. Founded in 2005 through a merger of several law firms, DLA Piper has grown to become one of the largest law firms in the world, with a presence in over 40 countries, emphasizing a commitment to diversity, innovation, and client-focused solutions.

How to land this job

  • Position your resume to highlight your analytical skills, revenue-centric financial acumen, and experience with financial modeling, forecasting, and reporting as these are core to the FP&A Analyst role at DLA Piper.

  • Emphasize your passion for AI innovation and any exposure to tools like Python, SQL, Power BI, or AI-driven analytics to align with DLA Piper’s focus on integrating AI in financial processes.

  • Apply through multiple platforms including DLA Piper’s official corporate careers site and LinkedIn to maximize your application visibility and ensure you don’t miss any openings.

  • Connect with current FP&A team members or finance professionals at DLA Piper on LinkedIn; use ice breakers like commenting on their recent AI projects or asking about the firm’s approach to AI in finance to start a meaningful conversation.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'financial planning,' 'forecasting,' 'profitability analysis,' 'AI innovation,' 'financial modeling,' and 'data analytics' to pass initial automated screenings.

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