Finance Associate, G&A

Responsibilities

Support business stakeholders within the G&A pillar, mostly in legal, communications, or policy areas Manage full P&L FP&A scope, encompassing headcount, payroll, operating expenses, and ad credits Lead core FP&A operations: oversee monthly close processes (including accruals, reclass reviews, and variance analysis) to ensure data accuracy, manage quarterly forecasts, and assist vertical finance partners with annual budget planning Partner directly with vertical Finance teams to deliver comprehensive financial support, evaluate the work intake, and review deliverables to ensure overall team success Oversee a team of offshore BPO analysts on operational deliverables, reviewing and signing off on their work while developing scalable solutions to optimize workflows Build AI fluency, participate in User Acceptance Testing (UAT), and drive process improvements across AI-enabled operational workflows Apply analytical skills to develop financial models for complex initiatives Collaborate with cross-functional partners, including Corporate Accounting, Source-to-Pay, Headcount Strategy, Project Management, business operations, and Finance Product Engineering

Qualifications

4+ years of professional work experience in finance, accounting, or business analytics Bachelor's degree in Finance, Accounting, Business, or equivalent quantitative field Experience independently managing multiple financial deliverables with competing deadlines, ensuring accuracy and timely completion Experience adapting to new financial tools, systems, and operational processes Experience analyzing financial data and building reports, with willingness to leverage AI tools to improve reporting and analysis workflows Experience communicating financial analyses and recommendations in writing and verbally to technical and non-technical stakeholders Proven track record of building effective cross-functional working relationships with finance and business partners Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience analyzing large data sets and leveraging AI tools to drive financial insights or process improvements Experience in Oracle EPM, Hyperion Essbase, and Google Sheets