C

Cushman & Wakefield

Global commercial real estate services provider

Portfolio Strategy & GIS Manager

Data Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA$127.5k - $150kRemote

About the Job

Requirements

  • Three to seven years of experience in GIS, geospatial analytics, commercial real estate strategy, portfolio planning, business analytics, consulting, or a related field, with demonstrated strength in geospatial delivery.
  • Experience developing maps, dashboards, reporting solutions, presentations, and analytical products used by business and client stakeholders.
  • Demonstrated ArcGIS expertise, including hands-on experience with ArcGIS Online, ESRI products, spatial data management, web maps, dashboards, and geospatial analysis.
  • Strong Excel and data analytics skills, including the ability to structure, validate, analyze, and communicate complex portfolio and real estate data.
  • Experience preparing, integrating, validating, and maintaining spatial and business data from multiple sources.
  • Strong problem-solving, analytical thinking, spatial reasoning, and data interpretation skills, with the ability to connect findings to real estate strategy and recommended actions.
  • Experience gathering requirements and working directly with business partners, transaction teams, client stakeholders, or senior account leaders.
  • Ability to translate business requirements into maps, scenarios, technical solutions, portfolio strategies, and clear client-ready recommendations.
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics, Real Estate, Finance, Economics, or a related field is preferred; equivalent experience may be considered.
  • Microsoft Office Suite, including advanced Excel skills and strong data analytics capabilities, plus proficiency in PowerPoint and Word.
  • SQL and relational database technologies.
  • ArcGIS Online and ESRI geospatial technologies, including developing and maintaining maps, dashboards, spatial datasets, and location intelligence products.

Responsibilities

  • Develop and maintain geospatial, reporting, and analytics solutions that improve visibility into portfolio performance, business demand, market conditions, workplace trends, operational metrics, and business outcomes.
  • Prepare and contribute to client strategy documents, including Plans of Record (PORs), Practical Plans, Business Unit Plans, business reviews, portfolio plans, scenario assessments, and client-ready presentations that connect location intelligence with recommended actions.
  • Transform, validate, and manage data from multiple sources to support portfolio intelligence, strategy development, forecasting, scenario analysis, and decision support.
  • Partner with business partners, transaction managers, brokers, account teams, and client stakeholders to understand business requirements, portfolio priorities, timing, constraints, and decision criteria.
  • Support portfolio planning, location strategy, occupancy analysis, workplace strategy, and transaction decision-making through maps, scenarios, financial and market inputs, and strategic recommendations.
  • Identify opportunities to improve efficiency through automation, standardization, and adoption of emerging technologies, including AI-enabled tools, while supporting the continued evolution of strategy, analytics, reporting, and geospatial capabilities.
  • Develop client-ready maps, dashboards, presentations, and reporting solutions using ArcGIS, Power BI, Looker, Tableau, or similar platforms.
  • Support the development and maintenance of client strategy documents, including Plans of Record (PORs), Practical Plans, Business Unit Plans, portfolio plans, site strategies, business cases, presentation materials, user training, documentation, and continuous improvement efforts.
  • Build and maintain data pipelines, transformation processes, and data models that support mapping, analytics, portfolio planning, and reporting solutions.
  • Integrate data from internal systems, client platforms, commercial real estate technologies, and external sources.
  • Develop and maintain ArcGIS Online environments, maps, dashboards, and geospatial data products that support location intelligence, market analysis, portfolio optimization, workplace planning, transaction strategy, and client decision-making.
  • Identify opportunities to automate repetitive reporting, data preparation, and operational processes.
  • Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities.
  • Lead and support working sessions with business partners, transaction managers, brokers, account teams, and clients to understand business needs, test scenarios, align assumptions, and clarify portfolio priorities.
  • Synthesize technical, market, portfolio, and business information into concise recommendations for technical and non-technical audiences, including executive and client-facing stakeholders.

Desired Qualifications

  • Experience with Databricks, Delta Lake, Unity Catalog, or modern cloud-based analytics platforms.
  • Experience using Python for analytics, automation, reporting, or workflow development.
  • Experience supporting commercial real estate, corporate real estate, portfolio planning, location strategy, transaction management, workplace strategy, occupancy management, facilities management, or related business functions.
  • Experience partnering with business leaders and transaction teams to develop practical portfolio recommendations, sequencing, and implementation plans.
  • Experience developing client strategy documents such as Plans of Record (PORs), Practical Plans, Business Unit Plans, portfolio plans, site strategies, market assessments, scenario analyses, business cases, or executive-level real estate recommendations.
  • Experience within consulting, professional services, or client-facing environments, including facilitating discussions and presenting recommendations.
  • Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies.
  • Experience with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management.
  • Power Query and Power BI experience.
  • Google Workspace (Sheets, Docs, Slides).
  • Experience with Looker, Tableau, or similar analytics platforms.
  • Databricks and cloud analytics platforms.
  • Python or similar scripting languages.
  • Commercial real estate, transaction management, workplace, occupancy, facilities, scenario planning, or portfolio management technologies.
  • AI-enabled productivity and analytics tools.

About the Company

Cushman & Wakefield

Global commercial real estate services provider

Cushman & Wakefield provides commercial real estate services to property owners, tenants, and investors worldwide. It helps clients buy, sell, lease, manage facilities, and value properties through market research, brokerage, property management, and consulting. Revenue comes from commissions on sales and leases, management and consulting fees, and selective strategic investments in related companies. Its global network across major markets and diverse client focus helps clients optimize real estate strategies and portfolio performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1917

Recently Posted Jobs

Explore more opportunities at Cushman & Wakefield

See more jobs