About The Position

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About JLL Work Dynamics: Work Dynamics at JLL offers comprehensive workplace solutions designed to optimize the productivity, efficiency, and employee experience within organizations. Combining data-driven insights with innovative technologies, Work Dynamics assists businesses in creating tailored workplace strategies that align with their unique goals and objectives . By leveraging JLL's expertise in workplace strategy, space planning, change management, and workplace technology, the Work Dynamics team brings together the physical, digital, and cultural aspects of the workplace to drive employee satisfaction, collaboration, and overall business success. What the job involves: We are currently seeking a Summer Intern in Business Analytics to join our team. In this role, you will learn how to develop and maintain enterprise data pipelines that power business intelligence solutions, how to design and implement data transformation workflows from source systems through data lakes to normalized warehouses, and how to create Power BI dashboards and analytics that support decision-making across our global facilities portfolio. As a Summer Intern in Business Analytics at JLL, you will:

Requirements

  • Actively pursuing a bachelor's degree, with 2-3 years completed, majoring in Data Science, Computer Science, Information Systems, or related analytical field.
  • Foundational SQL skills and understanding of database concepts, data warehousing principles, or ETL processes.
  • Strong problem-solving capabilities with attention to detail and data quality.
  • Familiarity with Power BI, Tableau, or similar business intelligence and data visualization tools (coursework or projects accepted).
  • Interest in data pipeline tools and technologies such as Azure DevOps, Apache Airflow, or similar platforms; exposure through coursework, personal projects, or academic research is valued.
  • Experience working on team projects and demonstrated ability to work in agile or collaborative environments (academic group projects, clubs, or prior internships).
  • Permanent US work authorization.

Responsibilities

  • Support Data Pipeline Development : Assist in developing and maintaining data ingestion processes from multiple source systems into the data lake, and help monitor pipeline performance to ensure reliable data delivery to BI consumption layers.
  • Contribute to Data Transformation Projects : Participate in designing data transformation workflows that move raw data from lake to normalized warehouse structures, and help build automated data quality validation processes.
  • Develop Power BI Reports and Dashboards : Create Power BI reports and dashboards that consume normalized warehouse data, and support the development of automated reporting solutions and data extracts for business users.
  • Assist with Multi-System Data Integration : Help develop ETL processes for facilities management, financial, and operational data across multiple system generations, and support data reconciliation processes during system transition periods.
  • Build Infrastructure Analytics Solutions : Design dashboards that track data pipeline performance, processing times, and quality metrics, and create monitoring solutions for data warehouse optimization during system transitions.

Benefits

  • 401(k) plan with matching company contributions
  • Comprehensive Medical, Dental & Vision Care
  • Paid parental leave at 100% of salary
  • Paid Time Off and Company Holidays
  • Early access to earned wages through Daily Pay
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