Data Jobs in Creve Coeur, MO

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Business Analytics Engineer

Cushman & Wakefield Creve Coeur, MO

Creve Coeur, MO

Today

$106k - $125k/yr Full time Analytics Arcgis Online Artificial Intelligence

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Job Description

Business Analytics Engineer will design, develop, and maintain data, analytics, reporting, and geospatial solutions that support real estate portfolio decisions.

Responsibilities

Develop and maintain reporting, analytics, and geospatial solutions to improve visibility into portfolio performance, workplace trends, operational metrics, and business outcomes
Transform, validate, and manage data from multiple sources to support 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 adoption of emerging technologies, including AI-enabled tools
Support the continued evolution of PAG’s analytics, reporting, geospatial, and technology capabilities
Build and maintain dashboarding and reporting solutions for portfolio performance, workplace strategy, occupancy trends, operational efficiency, and service delivery using Power BI, Looker, Tableau, or similar platforms
Create and maintain data pipelines, transformation processes, and data models that support analytics and reporting solutions, 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 for location intelligence, market analysis, portfolio optimization, workplace planning, and operational 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
Communicate technical concepts clearly to both technical and non-technical audiences
Support user adoption, training, documentation, and continuous improvement efforts

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 with business intelligence platforms including Power BI, Tableau, Looker, or similar tools
Experience building and maintaining data pipelines within modern cloud analytics platforms, with Databricks experience strongly preferred
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
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

Technologies

Power BI, Looker, Tableau
Databricks
ArcGIS Online, ESRI
SQL, Python
Delta Lake, Unity Catalog
Microsoft Office Suite (Excel, PowerPoint, Word)
Google Workspace (Sheets, Docs, Slides)
Microsoft Copilot, Claude, Gemini, ChatGPT

Location

Creve Coeur, MO (onsite)

Compensation

USD 106,250 - 125,000 per year

Education

Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics

Benefits

Health, vision, and dental insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work
Competitive pay (varies by eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements)
Opportunity to enroll in a variety of benefit programs

What “Success” Looks Like

Stakeholders trust the data, reporting, and analytics solutions used for business and real estate decisions
Reporting and analysis processes become more automated, scalable, and consistent
Business users spend less time gathering, validating, and preparing data and more time acting on insights
Analytics and geospatial solutions become integrated into standard account operations and decision-making
Stakeholders use reporting, analytics, and geospatial solutions to support portfolio planning, occupancy strategy, location decisions, operational performance, and workplace initiatives

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