Data Analyst

Integrated Facilities Management – Leading Global Technology company

(India)

Here in India, we manage 23 sites, hosting over 250 people.

Our client’s mission "to organize the world's information and make it universally accessible and useful" has helped it become one of the few companies in the world worth more than one trillion US dollars.

The Asia Pacific region is an important part of our client’s success: occupying 65 offices across 13 countries. JLL helps our client achieve its ambitions by delivering the services and supporting the spaces that enables their business to thrive.

Kick start your career by working a team managing some of the world's most inspiring office spaces. With nearly 10 million square feet of office space across Asia, there is plenty of room to grow!

The JLL account team has developed a unique culture, drawing and adapting from JLL and our client’s way of working and thinking.

What this job involves:

• Collect, clean, and process large datasets from various available sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns and
  
  

anomalies.

• Develop and maintain reports, dashboards, and visualizations to communicate data insights
  
  

effectively to stakeholders at all levels of the organization.

• Collaborate with clients to understand their data needs and provide tailored analysis and
  
  

recommendations.

• Support the development and implementation of data-driven strategies.
• Contribute to the development and improvement of data collection processes and data quality
  
  

standards.

• Participate in cross-functional projects related to facility management and data analytics.
  
  

Qualifications

• Bachelor's degree in data science, statistics, mathematics, engineering, or a related field.
• Proven experience (5+yrs) as a Data Analyst, preferably in the facility management, real estate,
  
  

or related industry.

• Strong analytical and problem-solving skills with the ability to interpret complex data and draw
  
  

meaningful conclusions.

• Proficiency in data analysis tools and techniques, such as SQL, R, Python, or similar.
• Experience with data visualization tools, such as Data studio, Plx, Tableau, Power BI or similar.
• Familiarity with Google office suite and facility management software, such as IWMS like IBM
  
  

tririga is a plus.

• Excellent communication and interpersonal skills with the ability to collaborate effectively with
  
  

diverse teams.

• Strong attention to detail and a commitment to data accuracy.