Sr. Analyst

What this job involves

Join JLL's Sports & Entertainment Development Advisory practice as a Senior Analyst, where you'll be the analytical engine behind some of the most consequential venue and mixed-use development decisions in professional sports. Our team advises teams, leagues, owners, and public authorities across MLB, NFL, NHL, WNBA, MiLB, and collegiate athletics — from billion-dollar mixed-use districts anchored by a ballpark, to arena site selection, to the public-financing and feasibility cases that get projects approved and built.

In this role you'll own financial models, site analyses, and client-ready materials end-to-end, working directly with the Managing Director and engagement leads on deliverables that go in front of ownership- and league-level decision-makers. Operating in a lean, senior, high-visibility team, you'll carry multiple concurrent engagements with limited oversight, help shape the analytical approach on new pursuits, and serve as a resource to junior team members.

This is an exceptional platform to deepen your expertise across the full development lifecycle — underwriting, site selection, economic impact, public finance, and deal execution — while advancing within JLL's global platform and contributing to projects that reshape skylines and communities.

What your day-to-day will look like

• Own development pro formas, feasibility models, and cash-flow analyses end-to-end for stadiums, arenas, and surrounding mixed-use development
• Lead valuations and broker opinions of value using income/cap-rate, comparable-sale, and comparable-lease approaches, incorporating stacking plans and market data
• Construct economic- and fiscal-impact models — direct, indirect, and induced multipliers; tax-revenue and incentive analysis — to support public-financing and legislative cases
• Direct site sourcing, screening, and analysis using CoStar, parcel records, and county assessor data, and build defensible site inventories
• Build and quality-control client-ready presentations — site shortlists, feasibility summaries, pitch and pursuit decks, and board materials
• Draft, issue, and coordinate RFPs and RFQs (engineering, master planning, design) and manage responses through selection
• Assemble and defend comparable-transaction and comparable-venue benchmarking sets and the underlying methodology
• Synthesize public deal documents — leases, non-relocation agreements, development agreements, bond official statements — into usable facts and figures
• Conduct market, demographic, and demand research and monitor stadium/arena deal terms, public-financing structures, and league developments
• Pursue new business opportunities and serve as a resource to junior analysts on modeling and GIS workflows

Required Qualifications

• Bachelor's degree in Real Estate, Finance, Economics, Urban Planning, Business, or a related quantitative discipline (or equivalent combination of education and experience)
• 2-4 years of experience in a financial analysis environment; commercial real estate, investment banking, private equity, or consulting experience strongly preferred
• Advanced proficiency with Microsoft Excel for financial modeling from scratch (pro formas, DCF/NPV/IRR, sensitivity analysis) and with PowerPoint for polished, client-ready deliverables
• Demonstrated ability to own workstreams end-to-end and manage multiple concurrent engagements against real deadlines with limited oversight
• Outstanding organizational, interpersonal, quantitative, and written communication abilities, with the poise to present analysis to senior professionals and clients
• Exceptional research, analytical, and problem-solving skills, with the ability to synthesize complex market and financial data into clear recommendations

Preferred Qualifications

• GIS experience with the Esri platform (ArcGIS Pro, ArcGIS Online)
• Database and research-platform experience with CoStar, Real Capital Analytics, county parcel/assessor data, or similar industry tools
• ARGUS Enterprise experience or certification for property cash-flow modeling
• Familiarity with public finance, development incentives, or economic- and fiscal-impact methodology
• Comfort with data tooling and automation (Python, SQL, APIs, or AI-assisted workflows)
• Prior experience mentoring analysts or leading discrete client deliverables
• Pursuit of relevant industry certifications (ARGUS, advanced Excel modeling, CCIM) encouraged