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Senior Geospatial Analyst Jobs in Georgia (NOW HIRING)

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... and senior stakeholders, producing clean, well-documented, and reproducible outputs. Data ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... and senior stakeholders, producing clean, well-documented, and reproducible outputs. Data ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying geographic and geospatial scientific principles, tools, and analytical techniques * Experience applying data science and machine learning techniques including logistic regression ...

Everwatch

Data Scientist, Senior

Augusta, GA

$62.50 - $69.72/hr

Experience applying geographic and geospatial scientific principles, tools, and analytical techniques * Experience applying data science and machine learning techniques including logistic regression ...

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All JobsGeospatial Analyst JobsSenior Geospatial Analyst JobsSenior Geospatial Analyst Jobs in Georgia

Senior Geospatial Analyst information

See Georgia salary details

$41K

$86.6K

$110.2K

How much do senior geospatial analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior geospatial analyst in Georgia is $86,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $98,400.00 per year, depending on experience, location, and employer.

What does a senior geospatial analyst do?

A Senior Geospatial Analyst is responsible for collecting, analyzing, and interpreting geographic data to support decision-making in various fields such as urban planning, environmental management, and defense. They use advanced Geographic Information Systems (GIS) software to create maps, visualize patterns, and model spatial relationships. Their work often involves supervising junior analysts, ensuring data accuracy, and developing methodologies for spatial analysis. Senior Geospatial Analysts also collaborate with stakeholders to translate complex geospatial data into actionable insights.

How does a senior geospatial analyst typically collaborate with cross-functional teams on large-scale projects?

Senior Geospatial Analysts often work closely with professionals from engineering, environmental science, urban planning, and IT departments. They are responsible for translating complex geospatial data into actionable insights tailored to each team's needs. Regular collaboration occurs through meetings, data sharing platforms, and project management tools, ensuring all stakeholders are aligned. This cross-functional teamwork is essential for integrating geospatial analysis into broader project objectives, such as infrastructure planning or environmental monitoring.

What are the key skills and qualifications needed to thrive as a senior geospatial analyst?

A Senior Geospatial Analyst requires advanced expertise in GIS, spatial data analysis, and cartography, supported by a degree in geography, GIS, or a related field. Proficiency with industry-standard software such as ArcGIS, QGIS, remote sensing tools, and relevant programming languages like Python or SQL is essential, and certifications like GISP can be beneficial. Strong problem-solving, communication, and project management skills help in translating complex spatial data into actionable insights and collaborating with diverse teams. These competencies ensure effective data-driven decision-making, high-quality spatial solutions, and leadership in geospatial projects.

What is the difference between Senior Geospatial Analyst vs Geospatial Analyst?

AspectSenior Geospatial AnalystGeospatial Analyst
Required CredentialsBachelor's or Master's in GIS, Geography, or related field; experience often 5+ yearsBachelor's degree in GIS, Geography, or related field; entry to mid-level experience
Work EnvironmentAdvanced projects, team leadership, complex data analysisData collection, basic analysis, map creation
Employer & Industry UsageGovernment agencies, environmental firms, defense, utilitiesSimilar industries, often as entry-level or mid-level roles

The Senior Geospatial Analyst typically has more experience, handles complex projects, and may lead teams, whereas the Geospatial Analyst focuses on data collection and basic analysis. Both roles are essential in GIS projects, but the senior position requires advanced skills and experience.

What are the most commonly searched types of Geospatial Analyst jobs in Georgia? The most popular types of Geospatial Analyst jobs in Georgia are:
What are popular job titles related to Senior Geospatial Analyst jobs in Georgia? For Senior Geospatial Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Geospatial Analyst jobs in Georgia look for? The top searched job categories for Senior Geospatial Analyst jobs in Georgia are:
What cities in Georgia are hiring for Senior Geospatial Analyst jobs? Cities in Georgia with the most Senior Geospatial Analyst job openings:
Senior Geospatial Analyst jobs near you
Infographic showing various Senior Geospatial Analyst job openings in Georgia as of July 2026, with employment types broken down into 69% Full Time, 6% Part Time, and 25% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $86,572 per year, or $41.6 per hour.

Junior Data Scientist

Cushman & Wakefield

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Cushman & Wakefield rating

7.4

Company rating: 7.4 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

110th of 202 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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