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
This role offers a unique opportunity to leverage cutting-edge analytics to drive transformational change for our PDS group. The successful candidate will be at the forefront of data-driven decision making, shaping the future of our client relationships and contributing to the strategic direction of our analytics capabilities.
