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.

Senior Data Analyst

Performance Analyst

Lease Abstraction Enterprise Platform (LEAP)

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies 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.

What This Job Involves

This role centers on transforming raw operational data from JLL’s Lease Abstraction Enterprise Platform (LEAP) — a business platform that elevates lease abstraction into strategic insights that drive measurable performance improvements. LEAP combines standardized processes, expert talent, advanced technology, and alignment with JLL’s enterprise data strategy to create a scalable service foundation that enables business lines to focus on high-value client activities while ensuring consistent, reliable lease data across the organization.

As a Performance Analyst, you will own the analytics function for the platform, designing comprehensive reporting frameworks that provide visibility into key metrics, trends, and operational health. Your work directly influences decision-making at all levels by translating complex data patterns into clear, actionable recommendations. You'll establish the measurement standards that define success, creating KPIs that align platform performance with business objectives. This position requires both technical proficiency in data analysis tools and the business acumen to understand what metrics matter most to stakeholders. You'll partner closely with operational teams to identify optimization opportunities, then design and implement data-driven initiatives that enhance efficiency, accuracy, and user satisfaction. Regular communication with leadership through compelling visualizations and reports ensures platform value is clearly demonstrated, and improvement areas are promptly addressed

What Your Day-to-Day Will Look Like

Design, build, and maintain interactive performance dashboards tracking platform KPIs and operational metrics

Extract and analyze data from multiple sources to identify trends, anomalies, and performance patterns

Generate daily, weekly, and monthly performance reports for distribution to stakeholders and leadership

Conduct deep-dive analyses on specific operational challenges or underperforming areas

Facilitate regular performance review meetings with business stakeholders, presenting insights and recommendations

Collaborate with operational teams to understand pain points and translate them into measurable metrics

Monitor platform utilization, accuracy rates, processing times, and user adoption metrics

Develop and refine KPIs and measurement standards to ensure alignment with business objectives

Create data visualizations and presentations that communicate complex findings to non-technical audiences

Identify optimization opportunities through statistical analysis and predictive modeling

Lead implementation of data-driven improvement initiatives and track their impact

Respond to ad hoc data requests from leadership and business units with quick turnaround analysis

Create and deliver training materials on reporting tools and performance metrics interpretation

Document analytical methodologies, data definitions, and reporting standards

Quality-check data accuracy and work with technical teams to resolve data integrity issues

Required Qualifications

Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Mathematics, Computer Science, or related field

7+ years of experience in performance analysis, business intelligence, or data analytics roles

Advanced proficiency in data visualization and business intelligence tools such as Power BI, Tableau, or similar platforms

Strong expertise in Microsoft Excel including advanced functions, pivot tables, and data modeling

Proficiency in SQL for querying databases and extracting complex datasets

Knowledge of AI/OCR document processing platforms and their performance metrics

Experience with Python, R, or other programming languages for advanced statistical analysis

Demonstrated ability to design and maintain executive-level dashboards and reporting frameworks

Experience establishing KPIs and performance measurement standards for operational processes

Strong analytical and problem-solving skills with attention to detail and data accuracy

Excellent communication skills with ability to present data insights clearly to diverse audiences

Experience conducting performance reviews and presenting findings to senior stakeholders

Ability to translate business questions into analytical frameworks and data requirements

Understanding of statistical analysis concepts and their application to business problems

Proven track record developing data-driven recommendations that drive operational improvements

• •Familiarity with AI/OCR tools such as Dealsumm or similar intelligent document processing solutions
• •Familiarity with BPM workflow tools like Mendix.

Preferred Qualifications

Certification in data analytics or business intelligence (Microsoft Certified Data Analyst, Tableau Desktop Specialist)

Experience in commercial real estate, lease administration, or PropTech environments

Familiarity with lease abstraction processes and related operational workflows

Background in process improvement methodologies such as Lean, Six Sigma, or similar frameworks

Experience with data warehousing concepts and ETL processes

Knowledge of predictive analytics and machine learning applications for operational optimization

Previous experience working within JLL or similar global real estate services organizations

Master's degree in Data Science, Business Analytics, Statistics, or related field

Experience designing and delivering training programs on analytics tools and reporting

Familiarity with change management principles and driving adoption through data transparency

Advanced data storytelling skills with ability to create compelling narratives from complex datasets

Location

On-site — Gurugram or Bangalore

Why JLL

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.

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!

JLL is an Equal Opportunity Employer committed to diversity and inclusion.

Location:

On-site –Bengaluru, KA, Gurugram, HR

Scheduled Weekly Hours:

40

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, experienc