Analytics Solutions Lead
JPMorgan Chase & Co.
Global Real Estate (GRE) Finance Analytics – Vice President
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 inMS ExcelandPowerPoint; proficiency inSQLand/orPythonpreferred
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)
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