Facilities Data Analyst

Facilities 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.   

Job Description

Position Title: Facilities Data Analyst
Location: Pune, India

Position Overview

We seek a detail-oriented Facilities Data Analyst to transform facilities management data into actionable insights. You will analyze data (from our facilities Management systems and various other sources) to identify trends, optimization opportunities, and drive operational excellence and cost efficiency.

Key Responsibilities

Data Analysis and Reporting

• Extract and analyze data from Facilities Management platforms to generate insights on work orders, service requests, maintenance activities, and costs

• Create dashboards and reports across multiple dimensions (location, asset type, vendor performance, service categories, cost centers, time periods)

• Identify patterns, trends, and anomalies in operations and costs

• Generate regular and ad-hoc reports with key findings and recommendations

Process Optimization

• Analyze work order lifecycle data to identify bottlenecks and improvement opportunities

• Evaluate vendor performance through data-driven analysis of response times, completion rates, quality, and cost effectiveness

• Develop and track KPIs for facilities management operations

• Recommend data-driven strategies for optimizing resource allocation, preventive maintenance, and service delivery

Stakeholder Collaboration

• Partner with the Operational Excellence Manager to translate business requirements into analytical frameworks

• Present findings to senior management and cross-functional teams

• Support strategic initiatives and continuous improvement projects

Managing Integrated Facilities Management Systems

• Experience with Integrated Workplace Management Systems (IWMS) and proficiency with CAFM/CMMS platforms

• Experience with helpdesk ticketing platforms

• API integration experience for data extraction from multiple systems

 

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Required Qualifications

Education

• Bachelor’s degree in business Analytics, Data Science, Engineering, Operations Management, or related field

Experience

• 2-4 years in data analysis, preferably in facilities management, operations, or corporate services

• Hands-on experience with facilities management systems ss

• Proven ability creating data visualizations, reports, and dashboards

Technical Skills

• Advanced Excel proficiency (pivot tables, VLOOKUP, macros)

• Strong knowledge of Power BI, Tableau, or similar visualization tools

• SQL or database querying experience (preferred)

• Experience with ERP systems (advantageous)

Core Competencies

• Strong analytical and problem-solving abilities with excellent attention to detail

• Ability to identify meaningful patterns in large datasets

• Excellent written and verbal English communication skills

• Ability to present complex insights clearly to technical and non-technical audiences

• Professional demeanor for client-facing interactions

 

Location:

On-site –Pune, MH

Scheduled Weekly Hours:

48

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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