Occupancy Planning Business Analyst

Experience: 2 to 4 years

Location: Belen, CRI

Skills: Excel, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, AI, machine learning, predictive modeling, natural language processing, AWS, Snowflake, Databricks, IWMS, CAFM, Power Automate, Quick Flows

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.

What this job involves:
We are seeking a Business Analyst to join the AMER Occupancy Planning analytics team. Reporting to the Lead Analyst, you will serve as a core contributor to the data-driven engine that powers occupancy planning decisions across a 50MM RSF portfolio. You will work hands-on with complex datasets—building capacity, space configuration, headcount demand, live utilization, and customer feedback—to produce the insights, models, and reports that enable our planners to deliver strategic, efficient, and employee-centric workplace solutions for our client. This role is ideal for an analytically rigorous professional who thrives on turning messy, multi-source data into clear answers and compelling visual stories. You will collect, clean, and integrate data from multiple sources to build a holistic view of the portfolio including capacity and configuration, demand, utilization, and customer feedback. You will perform exploratory data analysis to identify patterns, trends, anomalies, and disconnects between supply, demand, and actual space use, support the development of advanced analytical models including predictive forecasting, scenario analysis, and optimization algorithms, and execute "what-if" scenario analysis to test the impact of different headcount forecasts, hybrid work models, or space configurations.

What your day-to-day will look like:
Collect, clean, and integrate data from multiple sources to build a holistic view of the portfolio including capacity and configuration (building size, floor plans, space types, capabilities), demand (business unit headcount projections, growth forecasts, specific space requirements), utilization (badge data, sensor feeds, network logins), and customer feedback (survey results, workshop outputs, interview notes)
Perform exploratory data analysis to identify patterns, trends, anomalies, and disconnects between supply, demand, and actual space use
Support the development of advanced analytical models including predictive forecasting, scenario analysis, and optimization algorithms, executing "what-if" scenario analysis to test the impact of different headcount forecasts, hybrid work models, or space configurations
Build and maintain operational dashboards and reports tracking Occupancy Planning team performance, monitoring and reporting on key performance indicators including work status, work volume, plan accuracy, and performance against service level agreements
Fulfill ad hoc reporting requests from leadership and the planning team with accuracy and speed,



automating recurring reports and data pipelines to improve efficiency and reduce manual effort
Create clear, compelling, and visually engaging reports and presentations for executive-level audiences, translating analytical findings into actionable narratives using tools such as Power BI, Tableau, or Amazon QuickSight
Support Occupancy Planners with data-driven materials for strategic recommendations including stack plans, allocation proposals, and optimization opportunities, developing standardized templates and visualization best practices for the analytics function
Apply AI and machine learning techniques to support predictive modeling, anomaly detection, natural language processing of feedback data, and workflow automation
Partner closely with Occupancy Planners providing analytical support throughout the planning lifecycle from demand analysis through allocation and post-move validation.

Required Qualifications:
Bachelor's degree in Business, Data Science, Finance, Statistics, or a related quantitative field
2–4 years in a business analysis, data analysis, or analytics role
Robust proficiency in Excel including advanced formulas, pivot tables, Power Query, and data modeling
Hands-on experience with at least one data visualization tool: Power BI, Tableau, or Amazon QuickSight
Working knowledge of SQL for data extraction and manipulation
Familiarity with Python or R for data analysis, scripting, or automation
Demonstrated ability to synthesize data from multiple sources into clear, actionable insights
Strong communication skills with the ability to present analytical findings to non-technical audiences
Detail-oriented with a commitment to data accuracy and analytical rigor.

Preferred Qualifications:
Experience in commercial real estate, corporate real estate, or workplace/facilities management
Exposure to AI/machine learning concepts and tools including predictive modeling, NLP, and clustering
Experience with cloud-based data platforms such as AWS, Snowflake, or Databricks
Familiarity with space management systems such as IWMS, CAFM, or occupancy planning tools
Experience with workflow automation tools including Power Automate, Quick Flows, or similar
Understanding of headcount forecasting, seat demand modeling, or portfolio optimization concepts
Track record building capacity and configuration datasets including building size, floor plans, space types, and capabilities
Experience analyzing demand including business unit headcount projections, growth forecasts, and specific space requirements
Background working with utilization data including badge data, sensor feeds, and network logins
Experience synthesizing customer feedback including survey results, workshop outputs, and interview notes
Ability to identify opportunities to leverage automation tools to streamline repetitive analytical tasks
Experience collaborating with cross-functional teams including Facilities, Design & Construction, and Technology to ensure data integrity and alignment
Track record proactively identifying and communicating opportunities for space optimization,



improved employee experience, and cost savings
Ability to develop standardized templates and visualization best practices for analytics functions
Experience contributing to the establishment of best practices for data analysis, modeling, and reporting
Background staying current on emerging data science and AI capabilities relevant to corporate real estate and occupancy planning.

Location: On-site
At JLL, we are collectively shaping a brighter way — for our clients, ourselves and our fellow employees. We choose to take the more inspiring, innovative, and optimistic path on our journey toward success. What sets JLL apart is our culture of collaboration, locally and across the globe, which allows us to create transformative solutions for the real estate industry. We support each other's wellbeing and champion inclusivity and belonging across teams. JLL is an Equal Opportunity Employer committed to diversity and inclusion.

Location: On-site –Belen, CRI
Job Tags: GREF
If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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📌 Occupancy Planning Business Analyst (Mumbai)
🏢 JLL
📍 Mumbai