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Senior Real Estate Portfolio Analyst
Cushman & WakefieldSenior 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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesPythonSQLTableau
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