Analytics Solutions Lead

Global Real Estate (GRE) Finance Analytics – Vice President Job Description: The GRE Finance Analytics team sits within the Chief Administrative Office's Finance & Business Management division. The team provides analytical coverage across the Firm's corporate real estate portfolio – spanning capital and expense planning, headcount and occupancy analysis, and portfolio scenario modeling – to inform strategic real estate decisions at the senior leadership level.

This VP-level role is a core analytical position within GRE Finance, responsible for translating complex, multi-dimensional real estate data into actionable insights and executive-ready narratives. The role operates in a fast-paced, high-visibility environment, requiring both technical rigor and the ability to communicate clearly under ambiguity.

You will partner closely with GRE stakeholders and senior leadership to support portfolio strategy, space planning, and financial decision-making.

Key Responsibilities

Portfolio Analytics: Conduct in-depth analyses across the GRE portfolio – integrating financial, headcount, and real estate metrics – to surface trends, risks, and strategic opportunities Scenario & Financial Modeling: Build and maintain scenario models covering portfolio occupancy, capital allocation, and expense planning to support real estate strategy and investment decisions Ad Hoc Analysis: Respond to time-sensitive analytical requests from LOB partners and senior leadership, scoping and executing analyses with minimal direction Executive Reporting: Synthesize complex analyses into concise, high-impact presentations and materials for senior management consumption Data Infrastructure: Work with large, multi-source, and imperfect datasets; identify opportunities to improve data quality, analytical workflows, and modeling capabilities Required qualifications, capabilities and skills 7+ years of experience in data analytics, financial analysis, or a related quantitative field Strong analytical and structured problem-solving skills; proven ability to frame ambiguous questions into rigorous analyses Hands-on experience with scenario modeling and/or financial planning models Proficiency working with large, complex, multi-source datasets Ability to translate analytical output into clear strategic implications for non-technical audiences Strong written and verbal communication skills; experience preparing executive-level materials Advanced proficiency in MS Excel and PowerPoint; proficiency in SQL and/or Python preferred Preferred qualifications, capabilities and skills Background in corporate real estate, workplace strategy, or related domain Experience with firm-approved AI/GenAI tools (e.

g., LLMs, Microsoft Copilot) for analytics or workflow automation Familiarity with BI/visualization tools (e.g., Tableau, Alteryx)