Economist

Cushman & Wakefield•San Diego, CA

1d•$160,650 - $189,000•Onsite

About The Position

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.
Three (3) years of experience analyzing labor markets, demographics, and financial modeling of lease options and translating insights into actionable real estate requirements.
Three (3) years of experience managing client relationships for key accounts.
Three (3) years of experience developing and delivering presentations for new-business pursuits or client acquisition.
Three (3) years of experience mentoring junior associate in project execution and career development.
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.

Responsibilities

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.