Job Title
Economist

Job Description Summary

Job Description

Design and maintain internal data models to support client decision-making related to commuting impact, workforce
accessibility, location strategy, and real estate investment planning. Quantify the strategic and financial impact of real estate decisions,
taking into consideration of confounding or mitigating external factors. Analyze labor markets, workforce trends, and geographic cost
dynamics using modern data science and business intelligence tools. Translate complex data into compelling, client-ready insights
through dashboards, reports, maps, and presentations. Interpret and communicate findings from external econometric datasets and
studies to help clients and internal teams apply these insights to real-world scenarios. Collaborate across teams to refine analytic
methodologies and enhance internal modeling capabilities. Serve as the primary point of contact on client engagements, managing
scope, timelines, and deliverables. Contribute to proposal development and participate in business development efforts, including
analytical strategy for pitches and solution framing. Mentor junior analysts and guide technical execution, communication quality, and
professional growth.
Requirements: Master's degree in Economics, Business, Accounting, Finance, Urban Planning or related field (willing to accept foreign
education equivalent) plus four (4) years of experience as Consulting Analyst/Manager or related occupation performing economic or
statistical analysis in a business or consulting environment OR, alternatively, Bachelor's degree in Economics, Business, Accounting,
Finance, Urban Planning or related field (willing to accept foreign education equivalent) plus six (6) years of experience as Consulting
Analyst/Manager or related occupation performing economic or statistical analysis in a business or consulting environment. Experience
must include three (3) years with the following: analyzing labor markets, demographics, and financial modeling of lease options and
translating insights into actionable real estate requirements; managing client relationships for key accounts; developing and delivering
presentations for new-business pursuits or client acquisition; mentoring junior associate in project execution and career development.
Experience must include (quantitative experience requirements not applicable to this section): performing data ingestion and data
cleaning, implementing models in Python or R, and interpreting results; executing end-to-end analytical workflows for causal inference
modeling, including difference-in-differences, propensity score matching, and randomized controlled trials; developing data pipelines
and producing analytical dashboards or spatial analyses using Power BI, Tableau, and ESRI ArcGIS. Direct reports (Strategy Analyst,
Consulting Analyst, 2 Senior Consultants, and Consultant). 5% domestic travel.

Hybrid Position (4 days/week in office, 1 day remote)

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.

The company will not pay less than minimum wage for this role.

The compensation for the position is: $ 160,650.00 - $189,000.00

Hybrid Position (4 days/week in office, 1 day remote)