- 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

Bachelors 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

Solid 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
- Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Analyst (Haryana)
🏢 Jones Lang LaSalle (JLL)
📍 Haryana