Jll

SeniorAnalyst,Research

S$85–135k ~AI est. Singapore, Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analyst, Research at Jll. Skills: Data analysis, Data quality, Research operations. Support Research teams across APAC with timely submission. Review datasets to identify missing information, inconsistencies, or”

Industry & Context.

Problems you'll solve

Apply logical problem solving; Identify issues

What They're Looking For.

Must Have

Prior experience in data analysis, Database management experience, Experience in data, research, analytics, or related field, Bachelor's degree in Economics, Data Science, Statistics, Mathematics, or a related quantitative discipline, Attention to detail, Interest in working with data intensive processes, Ability to analyse information, Identify issues, Apply logical problem solving, Proficiency in MS Excel, Working with structured datasets, Fluency in English, Clear written and verbal communication skill, Ability to manage multiple tasks, Meet deadlines, Work effectively in a team environment

Nice to Have

Basic knowledge of a programming language such as Python, Interest in learning Python on the job, Familiarity with data visualisation tools, Familiarity with analytics tools, Experience checking data quality, Experience validating data quality, Interest in automation, Interest in AI tools, Interest in improving data processes

What You'll Do.

Support Research teams across APAC with timely submission

Review datasets to identify missing information

Follow up with teams to resolve issues

Assist with preparation and management of quarterly data

Maintain and update databases and systems

Monitor key property market indicators

Sense check data against real estate fundamentals

Test AI or automation tools

Adopt AI or automation tools

Improve AI or automation tools

Contribute to continuous improvement initiatives

How You'll Work.

Team & Collaboration

Regional stakeholders; Research teams across APAC; APAC Data Operations Team Lead

Communication Scope

Clear written communication; Verbal communication

Full Job Description

**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 large‑scale real estate datasets, regional market dynamics, and emerging AI and automation tools, making it an excellent opportunity for a graduate interested in data‑driven 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 * Documen

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