Senior Data Analyst
Jll
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This role on the market
9,534 open data roles across 957 companies are on ApplySarthi right now, most of them in Bengaluru (513), Hyderabad (338), Mumbai (162).
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What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Azure (13%), Stakeholder management (13%) — counted across their open postings here.
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Jll has 8,137 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Jll.
Questions you are likely to be asked
- Why do you want to join Jll?
- What is your experience with BigQuery? Tell me one thing you learned the hard way.
- Tell me about an analysis that changed a decision. What did you find?
- How do you check that your numbers are right before you share them?
- Walk me through a dashboard or report you built. Who used it, and for what?
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Practise the Senior Data Analyst at Jll interview free →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. Job Description About the role: We are seeking a talented professional to join us as a Senior Data Analyst to develop and deliver data insights and solutions through your technical and business expertise. The successful candidate will join the Portfolio Insights team, responsible for managing and optimizing JLL Client’s strategic real estate plans. Responsibilities: Develop and deliver actionable insights and recommendations with the appropriate analytics methodologies and techniques to help Client make informed portfolio decisions Generate queries, dashboards, and reports using complex datasets from a wide range of sources Collaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scale Take ownership of projects end-to-end, from initial requirements and data gathering to user testing and deployment Implement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability Create action plans to resolve data-related issues and drive quality improvement to our data ecosystem over time, including the data itself, the analytical data warehouse and the tools used to analyze and interpret results and trends Minimum Requirements: Strong analytical skills and an abundance of intellectual curiosity Bachelor’s Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field 3+ years of experience in data analysis and data visualization Experience building and deploying ML models Proficient in SQL (any dialect), R and Python Experience working with large codebases Expertise with spreadsheet-based tools like Google Sheets or Excel Solution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressure Strong communication skills and can clearly communicate business concepts and data findings to all levels of the organization Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic Preferred Qualifications: Corporate Real Estate knowledge Familiarity with Google Cloud Platform (e.g., BigQuery, Cloud Storage, App Engine) Track record of making business impact by mining and extracting value from large and disconnected datasets Location: On-site –Singapore 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 LaSalle (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. Jones Lang LaSalle (“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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Listed on workday · posted 2026-10-20. ApplySarthi collects openings and links to application pages; the role is advertised by Jll, not by us.