Economist

Cushman & Wakefield; San Diego (CA); On-site; USD 160,650 - 189,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement savings plans

Job summary

Cushman & Wakefield is looking for an Economist based in San Diego, California. The successful candidate will design and maintain internal data models that support client decision-making on matters related to commuting impact, workforce accessibility, and real estate investment planning.

The role requires a Master's or Bachelor's degree in relevant fields along with substantial experience in economic analysis. Key responsibilities include analyzing labor markets and managing client relationships, with mentorship duties for junior staff. Competitive compensation up to $189,000 annually and comprehensive benefits are offered.

Qualifications

• Master's in Economics or related field with 4 years experience, or Bachelor's with 6 years experience.
• Experience in economic/statistical analysis and managing client relationships.
• Proficiency in data ingestion, cleaning, and causal inference modeling.

Responsibilities

• Design and maintain data models for client decision-making.
• Analyze labor markets and geographic cost dynamics.
• Mentor junior analysts and contribute to proposal development.

Skills

Economic analysis

Statistical analysis

Data modeling

Client relationship management

Data pipeline development

Presentation skills

Education

Master's degree in Economics or related field

Bachelor's degree in Economics or related field

Tools

Python

R

Power BI

Tableau

ESRI ArcGIS

Job description

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 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.

Benefits

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 & 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

Equal Opportunity

Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

Accommodations

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email [e-mail]. Please refer to the job title and job location when you contact us.