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Urban Data Analytics Jobs (NOW HIRING)

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site +1

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

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What are the key skills and qualifications needed to thrive in the Urban Data Analytics position, and why are they important?

To thrive in Urban Data Analytics, you need a solid background in statistics, data analysis, and urban planning, often supported by a relevant degree such as urban studies, geography, or data science. Familiarity with GIS (Geographic Information Systems), SQL, Python, and data visualization tools like Tableau or Power BI, as well as certifications in data analytics or GIS, are highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex data insights to stakeholders set top performers apart. These skills are crucial for interpreting urban data accurately and driving data-informed decisions that shape city planning and infrastructure.

What is the highest salary for an urban planner?

The highest salaries for urban planners can exceed $100,000 annually, especially for those with extensive experience, advanced degrees, or working in high-cost regions. Senior urban planners or those in managerial roles often earn higher compensation, and specialized skills in data analysis or GIS can also increase earning potential.

What are the typical daily responsibilities of someone working in Urban Data Analytics?

Professionals in Urban Data Analytics typically spend their days gathering and analyzing spatial and demographic data, creating actionable insights for city planning and development projects. They often use advanced analytics tools to visualize trends, model urban growth, and evaluate the impact of policy or infrastructure changes. Collaboration is a key aspect of the job, as analysts frequently work with urban planners, engineers, and local government officials to translate data findings into effective strategies. The work environment can be both office-based and occasionally field-oriented, depending on the nature of the data being collected and analyzed.

What does an urban data analyst do?

An urban data analyst collects, processes, and interprets data related to city infrastructure, transportation, housing, and public services to support urban planning and policy decisions. They use tools like GIS software and statistical analysis to identify trends and inform improvements in city management. Strong analytical skills and knowledge of data visualization are essential for this role.

What is an Urban Data Analytics job?

An Urban Data Analytics job involves analyzing large datasets related to cities, infrastructure, and human activity to inform urban planning and policy decisions. Professionals in this field use data science, GIS, and statistical methods to identify trends in transportation, housing, environment, and public services. Their insights help governments, businesses, and organizations optimize urban development, improve sustainability, and enhance quality of life. This role often requires expertise in programming, data visualization, and predictive modeling.

Is 40 too late for data science?

Urban Data Analytics professionals can enter the field at any age, as success depends on skills, experience, and continuous learning. Many data scientists start or transition into the field later in life by acquiring relevant certifications, programming skills, and domain knowledge. Age is less a barrier than demonstrating proficiency with tools like Python, R, and data visualization platforms.

Is data analytics a high paying job?

Data analytics is generally considered a well-paying field, especially for roles like urban data analyst, which often require skills in statistical analysis, programming, and data visualization. Salaries vary based on experience, location, and industry, but many data analysts earn above average wages compared to other entry-level positions.
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Urban Data Analytics jobs near you
Infographic showing various Urban Data Analytics job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Junior Data Scientist

Junior Data Scientist

Cushman & Wakefield

Denver, CO

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Cushman & Wakefield rating

7.5

Company rating: 7.5 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

74th of 156 rated real estate companies

Job description

Job Title

Junior Data Scientist

Job Description Summary

This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and evolution of Cushman and Wakefield Quantitative Insight Group's (QIG) analytical capabilities by producing rigorous, insight-driven work on commercial real estate markets across the Americas. This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires.
This is not primarily an engineering role, though the ideal candidate will possess data engineering knowledge, skills, and abilities. The Analyst will spend most of their time doing substantive analytical and research work: synthesizing complex datasets, identifying market patterns and anomalies, and producing outputs that inform Cushman & Wakefield's House View, including elements that are unique to QIG, and related analytical products for key clients. At the same time, the candidate should be comfortable constructing and maintaining data pipelines, working fluently in Python and/or R and SQL, and collaborating closely with Technology & Data Solutions (TDS) as a knowledgeable and credible partner.

Job Description

Key Responsibilities

Real Estate & Urban Economic Analysis (45%)

  • Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights.

  • Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products.

  • Integrate geospatial data and methods into analytical workflows: working with Census geographies, parcel data, land use classifications, walkability or transit metrics, demographic overlays, and similar inputs to enrich market analysis.

  • Contribute to the development of novel datasets and indicators that advance QIG's analytical edge, including working closely with the Head of Data Science & Geospatial Analytics to specify and build integrated data products combining proprietary CRE data with public and third-party sources.

  • Support the QIG team on ad hoc analytical requests from Americas Research, the Global Think Tank, and senior stakeholders, producing clean, well-documented, and reproducible outputs.

Data Engineering & Pipeline Maintenance (35%)

  • Build andmaintainautomated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical modelsand reoccurring analysis.

  • Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces.

  • Perform exploratory data analysis and profiling on raw and processed datasets tovalidatepipeline outputs andidentifyanomalies or inconsistencies.

  • Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based competitive sets evolve.

  • Serve as a knowledgeable liaison to TDS: translating analytical requirements into engineering specifications, tracking the status of data requests in the TDS backlog, and validating outputs against analytical expectations.

Documentation, Integration & Infrastructure (20%)

  • Develop andmaintaininternal documentation covering data sources, model architecture, data flows, and diagnostic procedures, with attention to field-level lineage and traceability.

  • Serve as the team's subject matter expert on integration and processing of internal, third-party vendor, and public datasets (e.g., Census TIGER, IPUMS, LODES, NLCD, Overture Maps), and advise on cleaning, normalization, andappropriate analyticalapplications.

  • Monitor the evolution of third-party data products; assess their fit against QIG analytical requirements and produce intake specifications when new sources are approved for integration.

  • Support the adoption of emerging analytical technologies (including ML/AI methods and advanced data infrastructure patterns) through hands-on prototyping and coordination with TDS whereappropriate.

Qualifications

  • Bachelor's degree inEconomics,Data Science,Real Estate, Applied Economics, Geography,UrbanPlanningor anyclosely related field with quantitative emphasis.A master's degree ispreferredand adoctoral degree is a plus.

  • 2 to 6yearsof experience ina research, analytical, or data science role, preferably in a real estate, urban policy, planning, or economic research context.

  • Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions.

  • Working knowledge of geospatial data and methods: experience with GIS tools (ArcGIS, QGIS, or programmatic approaches via R or Python), familiarity with spatial data formats and concepts, and comfort integrating geographic context into analysis.

  • Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working knowledge of SQL. Familiarity with cloud platforms (Azure, AWS) and version control is a plus.

  • Experience working with public datasets commonly used in urban and real estate research: Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar.

  • Ability to produce clean, well-documented, reproducible analytical work and communicate findings clearly to both technical and non-technical audiences.

  • Comfortable operating in a cross-functional environment, working both independently and alongside engineering and research teams on iterative deliverables.

  • Genuine intellectual interest in urban economics, commercial real estate markets, and the spatial dimensions of economic activity.

  • Comfortability in communicating analysis, methods and related topics withrelated teams and immediate management.


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: $ 114,750.00 - $135,000.00Cushman & 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.

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 emailAccommodations@cushwake.com. Please refer to the job title and job location when you contact us.

INCO: "Cushman & Wakefield"

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