Real Estate Data Analyst

Responsibilities You will be part of a team responsible for building and maintaining a trusted, high-integrity real estate fund dataset. The team gathers information from diverse public and manager-provided sources, validates it through rigorous quality-assurance processes, and continuously automates the data pipeline to improve accuracy, timeliness and coverage. AI tools and internally built applications are used extensively across every stage of this work, and the team is expected to adopt, apply and help improve these tools as a core part of day-to-day delivery. Your Key Responsibilities Gather real estate fund information from diverse public sources and directly from fund managers, ensuring complete and well-documented coverage. Ensure the accuracy, reliability and integrity of collected data through rigorous, repeatable validation and quality-assurance processes. Apply a high level of attention to detail to identify, investigate and resolve outliers, anomalies and inconsistencies before data is published. Communicate effectively with clients and fund managers – gathering detailed information using standardized questionnaires, responding to queries, clarifying methodology and building strong, professional working relationships. Make extensive use of AI tools and automation to accelerate data collection, validation and quality checks; this role requires the daily, hands-on use of AI and related tools as a primary way of working. Contribute to the design and streamlining of the data flow, and help build and enhance the automation of the data collection and quality-assurance process. Analyse data trends and patterns to support data-quality decisions and provide clear, well-reasoned explanations to internal stakeholders and clients. Document processes, controls and validation logic to support consistency, auditability and knowledge sharing across the team. Your skills and experience that will help you excel Strong analytical capabilities , with the ability to interpret, cross-check and draw sound conclusions from complex datasets. Exceptional attention to detail and a genuine commitment to data quality and data integrity. Excellent client-facing communication skills , both written and verbal, with the confidence to engage fund managers and clients directly. Comfort and proficiency with AI tools is an absolute must – the role requires extensive, daily use of AI and automation tools, and a willingness to continuously learn and adopt new ones. Proficiency in MS Excel and familiarity with data and automation tools. A good understanding of private fund mechanisms and operations. A structured, process-oriented mindset with strong organizational skills. A background in data science or a related quantitative field is advantageous. Fresh grads are welcome to apply About MSCI   What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership