Jobs
Required Skills
SQL
Python
R
Data Analysis
Data Visualization
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.
Integrated Facilities Management – Leading Global Technology company
(India)
Here in India, we manage 25+ 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.
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 India, 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.
Location:
On-site –Bengaluru, KA
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.
JLL Privacy Notice
Jones Lang La Salle (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.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang La Salle (“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.
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About JLL

JLL
PublicJLL is a global commercial real estate services company providing property management, investment management, and advisory services. The company serves corporate clients, investors, and property owners across various real estate markets worldwide.
10,001+
Employees
Chicago
Headquarters
Reviews
3.2
10 reviews
Work Life Balance
2.5
Compensation
2.8
Culture
3.2
Career
3.5
Management
2.3
35%
Recommend to a Friend
Pros
Good coworkers and supportive team members
Learning opportunities and skill development
Supportive management (when present)
Cons
Poor management treatment and unprofessional behavior
Low pay relative to workload
Frequent layoffs and job instability
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$120,000
total / year
Base
$120,000
Stock
-
Bonus
-
$102,000
$138,000
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 14%
Neutral 43%
Negative 43%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Case Study/Technical Assessment
5
Final Interview/Presentation
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Real Estate/Industry Specific
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