Senior Analyst, Research

Posted 7 Days Ago
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Singapore, SGP
In-Office
Senior level
Real Estate • Financial Services
There's the conventional way. And there's the JLL way. A more innovative, intelligent way. See a brighter way.
The Role
Support APAC research teams by validating and managing large property datasets, identifying data issues, maintaining databases, assisting quarterly data cycles, monitoring market indicators, and testing AI/automation tools to improve data quality and processes.
Summary Generated by Built In

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.

What this job involves:  

This role sits within JLL’s APAC Research Data Operations team and plays a key part in ensuring the quality, consistency, and reliability of property market data across more than 20 Asia Pacific markets. You will support the data that underpins JLL’s research, insights, and client deliverables, working closely with local market Research teams and internal stakeholders. The role offers strong exposure to largescale real estate datasets, regional market dynamics, and emerging AI and automation tools, making it an excellent opportunity for a graduate interested in datadriven work and building a strong foundation in research operations. 

What your day-to-day will look like: 

  • Supporting Research teams across APAC with the timely submission and validation of market data 

  • Reviewing datasets to identify missing information, inconsistencies, or unusual trends, and following up with teams to resolve issues 

  • Assisting with the preparation and management of quarterly data cycles using agreed standards and processes 

  • Maintaining and updating databases and systems used to store and deliver research data to clients and internal stakeholders 

  • Monitoring key property market indicators and sense checking data against real estate fundamentals 

  • Working with the APAC Data Operations Team Lead to test, adopt, and improve AI or automation tools that enhance data quality and efficiency 

  • Documenting processes and contributing to continuous improvement initiatives within the data operations team 

 

Required Qualifications: 

  • Prior experience in data analysis and/or database management or experience in data, research, analytics, or a related field 

  • Bachelor’s degree in Economics, Data Science, Statistics, Mathematics, or a related quantitative discipline 

  • Strong attention to detail and an interest in working with data intensive processes 

  • Ability to analyse information, identify issues, and apply logical problem solving 

  • Proficiency in MS Excel, including working with structured datasets 

  • Fluency in English with clear written and verbal communication skill to collaborate effectively with regional stakeholders and research teams across APAC.

  • Ability to manage multiple tasks, meet deadlines, and work effectively in a team environment 

Preferred Qualifications: 

  • Basic knowledge of a programming language such as Python, or a strong interest in learning it on the job 

  • Familiarity with data visualisation or analytics tools (e.g., Power BI, Tableau) 

  • Experience checking or validating data quality 

  • Interest in automation, AI tools, or improving data processes 

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 [email protected]. 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.

Skills Required

  • Experience in data analysis, database management, research, or analytics
  • Bachelor's degree in Economics, Data Science, Statistics, Mathematics, or related quantitative discipline
  • Strong attention to detail and interest in data-intensive processes
  • Ability to analyse information, identify issues, and apply logical problem solving
  • Proficiency in MS Excel, including working with structured datasets
  • Fluency in English with clear written and verbal communication skills
  • Ability to manage multiple tasks, meet deadlines, and work effectively in a team environment
  • Basic knowledge of a programming language such as Python or strong interest to learn on the job
  • Familiarity with data visualisation or analytics tools (e.g., Power BI, Tableau)
  • Experience checking or validating data quality
  • Interest in automation, AI tools, or improving data processes

JLL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JLL and has not been reviewed or approved by JLL.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental, vision, life, disability, FSA options, and mental health support. The package is frequently characterized as “great” or “good,” reinforcing its perceived robustness.
  • Retirement Support Retirement benefits include a 401(k) with a strong employer match and access to related savings options such as a Roth 401(k). The presence of an employee stock purchase program and charitable matching further supports long-term financial value.
  • Leave & Time Off Breadth Time-off benefits include paid holidays and PTO that is often described as generous and flexible, alongside bereavement and military leave. Remote/hybrid flexibility is also part of the total rewards picture, increasing perceived overall value.

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The Company
HQ: Chicago, IL
66,101 Employees
Year Founded: 1999

What We Do

We’re a leading professional services firm that specializes in real estate and investment management. JLL shapes the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. We want the most ambitious clients to work with us, and the most ambitious people to work for us. Join us.

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