Senior Data Analyst

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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!

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