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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.  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.   

Data Analyst

Account Management – Work Dynamics (Country, Region)

Job Description

Data Analyst

Work Dynamics

Here in India, we manage over 6.5 mn  square feet of space across 21  offices.

Our client’s mission "to organise 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 enable their business to thrive. 

Kick start your career by working in 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:

We are seeking a highly motivated and analytical Data Analyst to join our growing team at JLL-Google account. As a Data Analyst, you will play a crucial role in analyzing facility-related data, identifying trends, and providing actionable insights to improve operational efficiency. You will work closely with various departments, including operations, occupancy planning and other relative departments to support data-driven decision-making.

Responsibilities

● 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 oce suite and facility management softwares, 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.

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in an entrepreneurial and inclusive work environment. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package.

Apply Now!

Location:

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!

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