Senior Data Analyst

Senior Data Analyst

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.   

About the Role 

We are seeking a talented Senior Data Analyst to join our Global Benchmarking Services team. In this role, you will transform complex data into actionable insights that drive business development and workplace optimization for corporate clients across the globe. You will work primarily with the GBS team and collaborate with clients from time to time to develop sophisticated analytics solutions, dashboards, and reports that support strategic decision-making in the commercial real estate sector, with a particular focus on human experience measurement and portfolio performance analysis. 

About Global Benchmarking Services 

Our team specializes in helping organizations understand their real estate portfolios and workplace effectiveness through data-driven insights. We combine portfolio and space benchmarking with human experience analytics to answer two critical questions: "Know your people, Know your numbers." Our work spans portfolio optimization, sustainability benchmarking, future workplace planning, and measuring the success of workplace transformation projects across the world. 

Key Responsibilities 

Analytics & Insights Development 

• Partner with business development teams to deliver data-driven insights that support client acquisition, retention, and growth strategies 

• Analyze workplace trends, employee experience metrics, space utilization patterns, and market benchmarks to identify opportunities 

• Inform strategic recommendations for corporate real estate portfolios 

• Provide insights that drive decision-making in commercial real estate optimization 

Portfolio Performance Analytics 

• Conduct comprehensive analysis of commercial real estate portfolios 

• Evaluate space efficiency, workplace effectiveness, employee satisfaction metrics, and organizational performance indicators 

• Develop predictive models and performance benchmarks to optimize portfolio strategies 

Advanced Reporting & Visualization 

• Generate sophisticated analytical reports using R and Python 

• Translate complex datasets into clear, compelling narratives 

• Create statistical scoring methodologies for performance measurement 

• Perform sentiment analysis on qualitative feedback from surveys and comments 

• Automate reporting processes to improve efficiency and ensure consistency in deliverables 

• Present findings that balance quantitative metrics with qualitative insights 

• Develop comprehensive reports that support strategic decision-making 

Client Dashboard Development 

• Design, build, and maintain interactive dashboards using Tableau or Power BI 

• Provide clients with real-time visibility into workplace performance 

• Ensure dashboards are intuitive, visually compelling, and aligned with client business objectives 

• Enable self-service analytics capabilities for client users 

• Create executive-level visualizations for senior leadership presentations 

• Implement user-friendly navigation and filtering capabilities 

Data Management & Quality 

• Extract, transform, and load data from multiple sources using SQL Server and Azure cloud platform 

• Manage large-scale datasets spanning hundreds of properties and thousands of survey responses 

• Handle data across multiple countries and organizations  

• Ensure data integrity, accuracy, and consistency across all analytics outputs 

• Implement best practices for data governance and documentation 

• Maintain data security and confidentiality standards 

• Develop and document data pipelines for scalable analytics operations 

Statistical Analysis & Modeling 

• Apply advanced statistical methods including regression analysis, hypothesis testing, and correlation analysis 

• Develop and implement scoring methodologies for workplace performance measurement 

• Conduct benchmarking analysis comparing client performance against regional and global datasets 

• Identify patterns and trends in workplace data across multiple dimensions 

• Develop predictive models for space utilization, employee experience, and portfolio optimization 

• Communicate statistical findings to non-technical stakeholders in accessible, business-relevant terms 

• Provide statistical rigor while maintaining practical business application 

 

Stakeholder Collaboration 

• Work closely with internal teams including research, workplace strategy, project management, and client service delivery 

• Understand data requirements and deliver analytics solutions that meet business needs 

• Present findings and recommendations to clients and senior leadership with confidence and clarity 

• Support business development efforts by translating complex analytics into compelling client value propositions 

• Collaborate across functions and geographies in a global team environment 

• Build strong relationships with clients to understand their evolving analytics needs 

 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field 

Experience 

• Minimum 3+ years of experience in data analytics 

• Preferably within commercial real estate, workplace consulting, human resources analytics, or employee experience measurement 

• Experience with client-facing analytics and survey data analysis required 

• Demonstrated ability to deliver insights that drive business decisions 

Technical Skills 

• Advanced proficiency in SQL for data extraction, manipulation, and analysis using SQL Server 

• Strong programming skills in Python and R for statistical analysis, report generation, and data visualization 

• Expertise in data visualization tools (Tableau or Power BI) with demonstrated ability to create executive-level dashboards and interactive analytics platforms 

• Working knowledge of Azure cloud platform for data storage, processing, and analytics 

• Solid foundation in statistical methods including regression analysis, hypothesis testing, correlation analysis, scoring methodologies, and benchmarking techniques 

• Ability to manage and analyze large-scale datasets with multiple dimensions and segments 

• Proficiency in data cleaning, transformation, and preparation for analysis 

Core Competencies 

• Excellent analytical and problem-solving abilities with meticulous attention to detail and data accuracy 

• Strong communication skills with proven ability to translate technical concepts and complex statistical findings for non-technical audiences 

• Client-focused mindset with ability to understand business needs, ask probing questions, and deliver actionable insights that drive decision-making 

• Self-motivated individual contributor who can manage multiple projects simultaneously and meet tight deadlines 

• Proven ability to work collaboratively across teams, functions, and cultures in a global environment 

• Intellectual curiosity and commitment to continuous learning, staying current with analytics tools, techniques, and workplace trends 

• Ability to balance quantitative rigor with qualitative interpretation to tell compelling data stories 

• Strong presentation skills for delivering findings to diverse audiences 

• Professional demeanor suitable for client-facing interactions 

Preferred Qualifications 

• Knowledge of commercial real estate markets, workplace strategy, space planning concepts, and industry terminology 

• Experience with employee experience measurement, workplace surveys, or human resources analytics 

• Familiarity with benchmarking methodologies and comparative analysis frameworks 

• Understanding of hybrid workplace models and workplace performance metrics 

• Experience working across Asia-Pacific markets with appreciation for cultural nuances in data interpretation 

• Prior experience in consulting, professional services, or client-facing roles 

• Familiarity with machine learning techniques and their application to workplace analytics and predictive modelling 

• Experience with change management and workplace transformation projects 

Work Arrangement 

This position offers a hybrid work arrangement, providing flexibility to balance remote work with in-office collaboration and client engagement. 

 

Note: This role offers the opportunity to work on cutting-edge workplace analytics at the intersection of commercial real estate, human experience, and data science, supporting clients across one of the world's most dynamic regions. 

Location:

On-site –Mumbai, MH

Scheduled Weekly Hours:

35

If this job description resonates with you, we encourage you to apply even if you don’t meet all of 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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