BI Analyst

Job Title: BI Analyst - Project & Development Services (PDS)

Position Overview

We are seeking an experienced and innovative BI Analyst to join our Project and Development Services (PDS) business intelligence team. This role will be pivotal in transforming complex data into actionable intelligence, supporting our PDS group in delivering projects from beginning to end on our clients' behalf. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence.

Key Responsibilities:

Advanced Data Analytics and Business Intelligence

• Design data integration from multiple systems into manageable data warehouses and analytic data models
• Streamline and automate reporting through various data connections and coding techniques
• Develop and implement sophisticated statistical models to forecast trends, predict outcomes, and identify opportunities for performance enhancement
• Deliver high value data interpretation and predictive analysis
  
  

Strategic Performance Analysis

• Analyze performance data to recognize historical trends that can be used to forecast probable results
• Lead responses to patterns, turning data into information, information into action and action into value
• Perform multi-dimensional analysis to uncover hidden patterns and correlations in project data
• Develop and maintain a comprehensive performance measurement framework, aligning metrics with clients' strategic objectives
  
  

Data Visualization and Reporting

• Architect and implement end-to-end BI solutions, from data integration to front-end dashboards
• Create interactive, dynamic dashboards and reports using advanced features of BI tools (e.g., DAX in Power BI, LOD calculations in Tableau)
• Differentiate JLL by partnering with our Business Intelligence and Information Technology Organizations to deliver technology solutions that support sales initiatives
• Deliver high quality, action-oriented, compelling analysis intended to transform project management behaviors and techniques
  
  

Cross-functional Collaboration

• Drive benchmarking analysis while leveraging internal data
• Leverage external industry research and analysis while providing insight to leadership on industry trends
• Lead cross-functional projects, coordinating with IT, operations, and client-facing teams to implement data-driven initiatives
• Document business user stories and communicate back to data architecture team
  
  

Required Qualifications:

• Bachelor's degree in Engineering, Finance, Economics, Information Technology or related field required. MBA or Master’s degree in Statistics, Applied Mathematics or related field preferred.
• 4+ years of relevant data analytics work experience
• Expertise in SQL, Python, and cloud-based data platforms (Databricks, Snowflake, etc.).
• Demonstrated experience building self-service reporting solutions using enterprise-level BI tool deployments (Tableau, Power BI, Looker, etc.) and driving adoption across the organization
• Experience with modern data architecture, data integration/ETL, data warehousing, and/or business intelligence deployed in a complex environment
• Understanding of data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables
• Ability to document business user stories and communicate back to data architecture team
• Outstanding communication skills—oral and written
• Creative problem-solving capabilities with ability to drive results and provide relevant solutions to clients
  
  

Preferred Qualifications:

• Experience with process improvement. Six Sigma Black belt a plus.
• Able to think logically, organize workflows efficiently, and solve problems independently
• Certification in relevant areas (e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate)
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure)
• Experience with data visualization, design principles and storytelling techniques
  
  

Key Competencies:

• Strategic thinking with the ability to link analytical insights to business outcomes
• Intellectual curiosity and a passion for solving complex problems
• Resilience and adaptability in a fast-paced, client-centric environment
• Strong ethical standards and commitment to data integrity and privacy
• Excellent stakeholder management skills, able to influence at all levels of the organization