JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
What this job involves:
Position Overview
JLL APAC Research is seeking a detail-oriented Research Analyst to join the JBS team in Dalian. The role focuses on proactively maintaining and enriching JLL’s proprietary commercial real estate databases covering properties, companies, and transactions. The successful candidate will work closely with the APAC Research Data Operations team to support the quarterly production cycle of the Real Estate Intelligence Service (REIS). Key responsibilities include monitoring data quality, managing data flows across research platforms, and collaborating with regional and local teams to resolve discrepancies in REIS datasets. The analyst will also partner with research stakeholders at all levels—from local analysts to management—as well as members of the Global Data Hub to execute both recurring and ad hoc data initiatives.
Key Responsibilities
- Prepare standardized Excel templates for local research teams to input and submit commercial real estate data
- Review data submissions from local teams and raise queries to ensure accuracy and completeness
- Develop and maintain Python scripts to automate data validation and workflow processes
- Proactively monitor data integrity using data quality dashboards; identify, correct, and escalate inaccurate or incomplete records to the Regional Head of Data Operations when necessary
- Participate in ad hoc data management and enhancement projects as required
Additional Competencies & Technical Exposure
- Strong numeracy skills with the ability to interpret data and understand relationships between key indicators
- Advanced Excel proficiency, including writing and troubleshooting complex formulas (e.g., INDEX/MATCH, nested logical functions)
- Hands-on experience with Python in an integrated development environment (IDE) such as Jupyter Notebook; ability to load, manipulate, and export data using libraries like Pandas
- Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and writing efficient, optimized SQL queries
Key Skills & Attributes
- Excellent written and spoken English communication skills
- Strong organizational and interpersonal abilities, with a collaborative mindset
- Flexible and adaptable: open to change and receptive to new ideas
- Thrives in a fast-paced environment; able to effectively prioritize and manage competing stakeholder requests
- Proficient in Microsoft Word and Excel
- Skilled in writing, maintaining, and troubleshooting Python or VBA scripts (familiarity with R is a plus)
- Advanced SQL knowledge, including complex querying techniques
- Meticulous attention to detail, with a strong sense of ownership and precision in execution
- Solution-oriented: able to propose practical strategies to address stakeholder needs
- Comfortable performing highly repetitive tasks while maintaining consistent data accuracy
- Strong process decomposition skills: able to break down complex data workflows into standardized, automatable steps
Qualifications & Preferred Background
- Bachelor’s degree in Statistics, Finance, Mathematics, Economics, Business Analytics, or a related field—or equivalent practical experience in data research or analytics
- Candidates with 1–2 years of experience managing structured datasets under tight deadlines are strongly preferred; real estate data experience is a plus
- We also welcome applications from professionals with senior administrative, data assistant, or comparable operational roles, provided they meet the following core requirements:
Fluent English proficiency (both written and spoken) sufficient for day-to-day collaboration
Ability to independently run, debug, and make minor adjustments to existing Python or VBA
High sensitivity to data quality, with a consistent commitment to accuracy and completeness
Prior exposure to commercial real estate data is advantageous
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
