Job Description

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

• 6-7 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, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.