Business Analytics Engineer

🕒 August 21

🇺🇸 United States – Remote

💵 $106.3k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cushman & Wakefield

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1917

💼 Consulting

🏥 Healthcare

🏗️ Construction

Consulting • Healthcare • Construction

Cushman & Wakefield is a global leader in commercial real estate services, providing a wide range of services including agency leasing, asset services, capital markets, global occupier services, project and development services, tenant representation, and valuation and advisory for various industries such as logistics and industrial, multifamily, retail, life sciences, data centers, and healthcare. The company is committed to driving forward for clients, colleagues, and communities with a focus on diversity, equity, and inclusion, as well as environmental, social, and governance principles. Operating in over 60 countries with 52,000 professionals, Cushman & Wakefield consistently delivers insights and research, such as market reports and sustainability efforts.

📋 Description

• Develop and maintain reporting, analytics, and geospatial solutions for portfolio performance, workplace trends, operational metrics, and business outcomes • Transform, validate, and manage data from multiple sources for portfolio intelligence, operational reporting, forecasting, and decision support • Partner with business stakeholders, account teams, and clients to translate business requirements into reusable technical solutions • Support portfolio planning, workplace strategy, occupancy analysis, location intelligence, and operational decision-making through insight generation and visualization • Identify opportunities to improve efficiency through automation, standardization, and emerging technologies, including AI-enabled tools • Develop dashboarding and reporting solutions using Power BI, Looker, Tableau, or similar platforms • Build and maintain data pipelines, transformation processes, and data models, with Databricks experience strongly preferred • 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 • Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities • Communicate technical concepts clearly to technical and non-technical audiences • Support user adoption, training, documentation, and continuous improvement efforts • Help advance the Portfolio Advisory Group's analytics, automation, geospatial, and emerging technology capabilities

🎯 Requirements

• 3-7 years of experience in business analytics, business intelligence, analytics engineering, reporting, data engineering, or related fields • Experience developing dashboards, reporting solutions, and analytical products used by business stakeholders • Experience using business intelligence platforms such as Power BI, Tableau, Looker, or similar tools • Experience building and maintaining data pipelines within modern cloud analytics platforms • Strong problem-solving, analytical thinking, and data interpretation skills • Experience gathering requirements and working directly with business stakeholders • Ability to translate business requirements into technical solutions and explain complex concepts to business stakeholders, account teams, and clients • Excellent written and verbal communication skills • Microsoft Office Suite (Excel, PowerPoint, Word) required • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics, Real Estate, Finance, Economics, or a related field preferred • Equivalent experience may be considered • Databricks experience strongly preferred • 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, workplace strategy, occupancy management, facilities management, or related business functions • Experience with ArcGIS Online, ESRI products, or geospatial analytics platforms • Experience within consulting, professional services, or client-facing environments • Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies • Experience working with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management • Google Workspace (Sheets, Docs, Slides) strongly preferred • SQL and relational database technologies • Python or similar scripting languages preferred • ArcGIS Online, ESRI products, or geospatial technologies preferred • Commercial real estate, workplace, occupancy, facilities, or portfolio management technologies preferred • AI-enabled productivity and analytics tools preferred • Ability to manage multiple priorities in a fast-paced environment

🏖️ Benefits

• Health insurance • Vision insurance • Dental insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life insurance • Disability insurance programs • Paid and unpaid time away from work • Competitive pay