Business Analytics Engineer

Business Analytics Engineer role focused on building analytics, reporting, automation, and geospatial solutions that support real estate portfolio decision-making.

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 convert business requirements into reusable technical solutions.
• Support portfolio planning and workplace strategy through insight generation and visualization for occupancy analysis, location intelligence, and operational decision-making.
• Find opportunities to improve efficiency through automation, standardization, and adoption of emerging technologies, including AI-enabled tools.
• Assist in the ongoing evolution of PAG analytics, reporting, geospatial, and technology capabilities.
• Build dashboarding and reporting solutions using Power BI, Looker, Tableau, or similar platforms for portfolio performance and operational efficiency.
• Create and maintain data pipelines, transformation processes, and data models supporting analytics and reporting solutions (Databricks experience 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, and workplace planning.
• Identify and automate repetitive reporting, data preparation, and operational workflows.
• Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities.
• Understand business needs and priorities through collaboration with account teams, business stakeholders, and clients.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Support user adoption through training, documentation, and continuous improvement activities.

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 for business stakeholders.
• Experience with Power BI, Tableau, Looker, or similar business intelligence platforms.
• Experience building and maintaining data pipelines in modern cloud analytics platforms; 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 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 in consulting, professional services, or client-facing environments.
• Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies.
• Experience across 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

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

Success in This Role Looks Like

• Stakeholders trust the data, reporting, and analytics solutions used to support 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.

Location: Creve Coeur, MO (onsite) • Salary: USD 106,250 - 125,000 per yearly • Experience: 3 years • Education: Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathem