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Cushman & Wakefield

Senior Real Estate Portfolio Analyst

Cushman & Wakefield

Senior Analyst at Cushman & Wakefield supporting real estate strategy and analytics. Leading financial modeling and data analysis for corporate clients with a focus on executive-level presentations.

Posted 6/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $93,500 - $110,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in financial modeling, real estate valuation metrics, and data analysis to support strategic decision-making in corporate real estate. Proficient in leveraging advanced analytical tools and visualization platforms to enhance data integrity and facilitate effective communication with stakeholders.

Highest-signal resume keywords
Financial ModelingReal Estate Valuation MetricsData Analysis & VisualizationClient EngagementProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Financial ModelingLease AnalysisRisk-Return AssessmentScenario PlanningSensitivity AnalysisExcelSQLPythonPower BITableau
Soft Skills
Interpersonal SkillsCommunication SkillsPresentation SkillsAttention to DetailStakeholder Alignment
Tools & Technologies
LookerAlteryxESRIGoogle Sheets
Industry Keywords
Corporate Real Estate StrategyCapital PlanningData GovernancePortfolio OptimizationCommercial Real Estate

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Lead the development of detailed, dynamic financial models for real estate acquisitions, dispositions, developments, and portfolio optimization.
  • Evaluate complex real estate transactions, executing detailed lease analysis, sale-versus-buy analysis, and comprehensive risk-return assessments.
  • Conduct rigorous scenario planning, sensitivity analysis, and stress testing to backstop critical real estate decisions and mitigate portfolio risk.
  • Utilize key real estate valuation metrics—including IRR, NOI, Cap Rates, and DSCR—to analyze performance and steer investment structures.
  • Support the client’s internal capital allocation, budgeting, and financial planning processes.
  • Support a large volume of concurrent data analysis workstreams, ensuring high-level data modeling accuracy and quality.
  • Design, build, and maintain interactive business intelligence dashboards (preferably in Looker/Looker Studio, Power BI, or Tableau) to translate complex datasets into clear, actionable visuals.
  • Champion data integrity, data governance best practices, and self-service analytics across the account, documenting data sources and metrics systematically.
  • Leverage advanced analytical platforms (such as Alteryx, ESRI, SQL, or Python) to automate data gathering and process inputs from multiple cross-functional parties.
  • Perform end-to-end business due diligence: define complex problems with stakeholders, explore data trends, develop tailored KPIs, and synthesize findings into concise narratives.
  • Organize quantitative and qualitative analysis into logical communications and high-end, client-ready presentation materials for executive-level approval.
  • Partner cross-functionally with transactional teams, asset management, development teams, and client stakeholders to align corporate real estate strategy with broader business objectives.
  • Track and report on key account deliverables, proactively managing multiple high-impact commitments simultaneously in a fast-paced environment.

Requirements

What you’ll need
  • Bachelor’s degree required, preferably in Finance, Real Estate, Economics, Data Analytics, or a related business/technical field
  • 5 to 8+ years of professional experience in corporate real estate strategy, finance, or equivalent analytical experience within an innovative, fast-paced environment
  • Proven mastery of commercial real estate evaluation metrics, leasing dynamics, and capital planning
  • Demonstrated background in a client-serving environment or working on highly dynamic, cross-functional teams is strongly preferred
  • Advanced proficiency in Excel/Google Sheets is required
  • Proven experience using data analysis & visualization platforms like Power BI, Tableau, Looker, Alteryx, SQL, Python, or ESRI is strongly preferred.
  • A proven track record of proactively managing multiple commitments, tight timelines, and competing tasks simultaneously while maintaining rigorous attention to detail and accuracy
  • Exceptional interpersonal, communication, and presentation skills, with a demonstrated commercial mindset and the ability to influence and align diverse stakeholders at all levels.

Benefits

Comp & perks
  • health, vision, and dental insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life, and disability insurance programs
  • paid and unpaid time away from work