Manager, Data Analytics- Industrial

JLLChicago, CO
Onsite

About The Position

JLL is seeking a Manager, Data & Analytics for the National Leasing Advisory Industrial platform to own the datasets, dashboards, and AI-enabled workflows that platform leadership and producers rely on. This role sits at the intersection of Investor business development, Occupier business development, Research, Sales Enablement, and JLLT, and it converts a fragmented set of manual analytical tasks into a single, scalable analytics engine. You will operate as both a builder and a partner. You will design and maintain the underlying data infrastructure, produce the dashboards and models that leadership and producers rely on, and identify where AI-enabled solutions can replace repetitive work.

Requirements

  • Familiarity with predictive modeling, geospatial analysis (PostGIS, ESRI), or econometric methods
  • Demonstrated ability to translate quantitative work into narratives that non-technical senior leaders can act on.
  • Bachelor’s degree required in real estate, finance, business, data analytics, or a related field.
  • Seven+ years of professional experience in data science, analytics engineering or applied analytics with increasing scope.
  • Commercial real estate experience with exposure to the industrial sector preferred.
  • Advanced Excel skills including strong SQL and Python (or R).
  • Fluency with modern data platforms (Snowflake, Databricks, or equivalent) and BI/visualization tools (Power BI, Tableau, or equivalent).
  • Working knowledge of information technology concepts, strategies, and methodologies, with the ability to partner effectively with technology teams.
  • Familiarity with finance and investment analysis principles as applied to commercial real estate.
  • Excellent analytical and problem-solving skills, with strong attention to detail and data integrity.
  • Strong relationship management, interpersonal, and written and verbal communication skills.
  • Self-motivated, with the ability to set and maintain priorities against multiple operational goals.
  • Experience managing cross-functional initiatives and data platforms.
  • Disciplined and flexible, able to work both independently and collaboratively.
  • Commitment to superior client service and to continuous improvement of processes and procedures.

Nice To Haves

  • Demonstrated experience applying AI-enabled tools to automate analytical or research workflows.
  • Experience with supply chain analysis, network mapping, or industrial market analytics.
  • Experience working in an Agile environment

Responsibilities

  • Own the data infrastructure and analytical output that power the National Industrial platform.
  • Design, build, and maintain the core datasets that support Investor business development, Occupier business development, and executive decision making.
  • Conduct the analysis and research required to inform build, buy, or change decisions on analytical tools and platforms.
  • Evaluate new applications and emerging capabilities, define system requirements, and recommend enhancements to existing tools.
  • Establish and enforce data input protocols so that reporting, pipeline visibility, and deal tracking are accurate and consistent.
  • Build self-service dashboards used across Agency IPS pursuits, Occupier business development strategy, and executive leadership decision making.
  • Customize dashboards on demand for individual pursuits, requests for proposal, and steering committee agendas.
  • Maintain the benchmarking, mapping, and custom visualization capability that supports Industrial brokerage.
  • Translate analytical output into presentation-ready deliverables for internal and client-facing use.
  • Identify repetitive analytical work and design AI-enabled solutions that improve efficiency and scalability.
  • Coordinate AI-assisted research processes across sectors and verticals.
  • Design each workstream to run on AI-enabled pipelines, returning time to authorship and client-facing work.
  • Design and maintain the MLA collection, coordinate broker responses nationally, execute follow-ups, and track market deals for IPS lead generation.
  • Maintain the centralized SAT client plan tracker covering acquisitions, dispositions, data requests, events, and initiatives, and summarize earnings and market news.
  • Prepare SAT client meetings by compiling revenue and performance data, synthesizing insights, tracking personnel and organizational changes, and documenting actions and ownership.
  • Design and run SAT broker surveys, including broker outreach, follow-up, response analysis, and packaging of findings into insight decks.
  • Develop presentation decks and Journey materials that translate strategy discussions into polished internal and external communications.
  • Support IPS pursuits and accounts by coordinating deliverables and calls with Research, business development leads, and IPS account managers, and by building the supporting dashboards and Excel models.
  • Map client supply chains, including hubs, nodes, and distribution centers, and produce industry-specific visualizations to support site selection.
  • Coordinate industry calls across Retail, 3PL, CPG, Food and Beverage, and Advanced Manufacturing, owning agendas, notes, action items, and follow-ups.
  • Build target account lists by vertical, map coverage across IPS, EPS, and REMS, and identify cross-sell opportunities.
  • Partner with Research on emerging market and economic trends, and translate those insights into pitch content.
  • Maintain the intelligence repository and executive summaries that make sector knowledge accessible across the platform.
  • Serve as the connection point between the Industrial platform and Research, Sales Enablement, JLLT, and Operations.
  • Direct support teams to optimize the tools, data sources, and reporting that serve the Industrial platform.
  • Build strong relationships with producers and leadership to develop a thorough understanding of business goals, processes, and challenges.
  • Prepare communications and present to leadership on system enhancements, analytical priorities, and platform alternatives.
  • Perform a broad range of assignments with limited supervision, using experience and judgment to analyze and resolve problems.

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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