Economist

Cushman & Wakefield

Architectural and Surveying Offices

San Diego, CA - USA

Senior Specialist / Project Manager

Hybrid

Experteer Overview

In this role, you design and maintain data models to support client decisions on commuting impact, workforce accessibility, location strategy, and real estate planning. You quantify strategic and financial effects of real estate choices while accounting for external factors. You translate complex data into client-ready insights via dashboards, reports, and visualizations. You act as the primary client contact, guide proposals, and mentor junior staff, contributing to both client success and internal capability growth. This role blends econometric analysis, data science, and cross-functional collaboration to shape real estate solutions at scale.

Compensation / Benefits

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

Responsibilities

Design and maintain internal data models for commuting impact, workforce accessibility, location strategy, and real estate investment planning
Quantify strategic and financial impact of real estate decisions considering external factors
Analyze labor markets, workforce trends, and geographic cost dynamics using data science and BI tools
Translate data into client-ready insights via dashboards, reports, maps, and presentations
Interpret external econometric datasets to inform real-world client applications
Collaborate across teams to refine analytic methods and enhance modeling capabilities
Serve as primary client engagement lead, managing scope, timelines, and deliverables
Contribute to proposals and participate in business development with analytical strategy
Mentor junior analysts and guide project execution and communication quality

Key requirements

Master's degree in a related field with 4 years of relevant consulting/economic analysis experience OR Bachelor's degree with 6 years of relevant experience
3+ years analyzing labor markets, demographics, and financial modeling of lease options; ability to translate insights into real estate requirements
Experience managing client relationships for key accounts and delivering new-business presentations
Experience mentoring juniors in project execution and career development
Data ingestion and cleaning; modeling in Python or R; end-to-end workflows for causal inference (Did, PSM, RCT)
Developing data pipelines and producing dashboards/spatial analyses using Power BI, Tableau, and ESRI ArcGIS

client relationship management presentation and communication mentoring and coaching Python R causal inference methods (difference-in-differences, propensity score matching, randomized controlled trials)

Description

In this role, you design and maintain data models to support client decisions on commuting impact, workforce accessibility, location strateg…

1M+ top positions worldwide with salary benchmarks
Be discreetly found and contacted by headhunters
Exclusively for senior-level professionals and executives

Already a member?