Senior Financial Analyst

Greenberg Traurig•Miramar, FL

1d•Hybrid

About The Position

This role sits at the intersection of finance, strategy, and data, with a focus on understanding what is happening across key financial areas and why. The position is responsible for developing insights across major expense categories, building financial models, and supporting decision-making through clear, data-driven analysis. A key component of the role is identifying opportunities to streamline and scale analytical workflows through improved processes and automation. This position prioritizes exploratory analysis, deep dives, and financial storytelling over routine reporting.

Requirements

Excellent interpersonal and communication skills (oral and written), professional demeanor, and presentation with both internal and external clients, including executive levels.
Strong analytical and problem-solving skills, with the ability to independently structure and execute analyses
Advanced financial modeling capabilities and a solid understanding of financial statements and cost drivers
Ability to distill complex data into clear, concise insights and business narratives
Intellectual curiosity with a focus on identifying root causes and drivers of performance
Effective communication skills, including experience presenting to senior stakeholders
Ability to operate effectively in ambiguous, evolving environments
Collaborative mindset with experience working cross-functionally
Recognize confidential, sensitive, and proprietary information and maintain such information as confidential
Bachelor’s degree in Finance, Accounting, Economics, or a related field is required
4+ years of experience, or 2–3 years with a relevant advanced degree, in FP&A, corporate finance, consulting, or a similar analytical role
Demonstrated experience in financial modeling, forecasting, and scenario analysis
Proficiency in Microsoft Office Suite, particularly Excel
Applies hands-on experience using generative AI tools (e.g., Microsoft Copilot, ChatGPT, or similar platforms) to support professional and managerial tasks, including drafting, summarizing, brainstorming, and organizing content, while applying sound judgment when reviewing AI generated work product and maintaining accountability for all final outputs
Ability to write effective prompts that clearly define objectives, provide relevant context, and guide AI tools to produce useful, accurate, and appropriate results; able to refine prompts to improve output quality, productivity, and efficiency
Models responsible AI use for team members, reinforcing expectations related to confidentiality, data privacy, and appropriate human oversight
Demonstrates working knowledge of governance considerations, including ethical use and risk awareness, and adapts to emerging AI and related technologies

Nice To Haves

Experience analyzing cost structures or large expense categories preferred (e.g., real estate, travel, technology)
Working knowledge of SQL or experience querying data is a plus.
Experience with data visualization tools (e.g., Power BI) or programming languages (e.g., R, Python) is a plus.

Responsibilities

Partner with stakeholders to define business questions, scope analyses, and translate needs into actionable analytical approaches
Analyze key financial categories (e.g., real estate, travel, technology investments) to identify trends, cost drivers, and optimization opportunities
Build and maintain financial models, including cash flow analysis, scenario planning, and forecasting
Structure and execute analyses in ambiguous or open-ended problem spaces, forming hypotheses and defining methodologies
Synthesize complex financial and operational data into clear insights and recommendations for senior leadership
Communicate findings through presentations, visualizations, and written reports tailored to internal clients
Drive process improvements by identifying and implementing automation opportunities across financial analysis and reporting workflows
Collaborate with Business Intelligence and data teams to scale reporting through dashboards and automated outputs