【职位描述】
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 enriching JLL’s proprietary commercial real estate databases covering properties;companies;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;collaborating with regional 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 ad hoc data initiatives.
Key Responsibilities
• Prepare standardized Excel templates flocal research teams to input submit commercial real estate data
• Review data submissions from local teams raise queries to ensure accuracy completeness
• Develop maintain Python scripts to automate data validation workflow processes
• Proactively monitdata integrity using data quality dashboards; identify;correct;escalate inaccurate incomplete records to the Regional Head of Data Operations when necessary
• Participate in ad hoc data management enhancement projects as required
Additional Competencies & Technical Exposure
• Strong numeracy skills with the ability to interpret data understrelationships between key indicators
• Advanced Excel proficiency;including writing 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;export data using libraries like Pandas
• Experience working with relational databases (e.g.;MySQL;PostgreSQL;SQL Server) writing efficient;optimized SQL queries
Key Skills & Attributes
• Excellent written spoken English communication skills
• Strongganizational interpersonal abilities;with a collaborative mindset
• Flexible adaptable: open to change receptive to new ideas
• Thrives in a fast-paced environment; able to effectively prioritize manage competing stakeholder requests
• Proficient in Microsoft Word Excel
• Skilled in writing;maintaining;troubleshooting Python 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 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 standardized;automatable steps
Qualifications & Preferred Background
• Bachelor’s degree in Statistics;Finance;Mathematics;Economics;Business Analytics;a related field—equivalent practical experience in data research 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 seniadministrative;data assistant;comparable operational roles, provided they meet the following core requirements:
-Fluent English proficiency (both written spoken) sufficient fday-to-day collaboration
-Ability to independently run;debug;make minadjustments to existing Python VBA
-High sensitivity to data quality;with a consistent commitment to accuracy completeness
-Priexposure to commercial real estate data is advantageous