Real Estate Data Analyst

Msci-

Philippines

On-site

PHP 450,000 - 750,000

Full time

12 days ago

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Job summary

MSCI in the Philippines seeks a data integrity professional to build and maintain a trusted real estate fund dataset. You will gather information from public sources and fund managers, validate it through QA processes, and continually automate data pipelines to improve accuracy and coverage.

The role emphasizes attention to detail, clear client-facing communication, and daily use of AI tools to accelerate validation and data quality decisions. Fresh grads are welcome to apply.

Qualifications

  • Strong analytical capabilities and ability to interpret complex datasets.
  • Exceptional attention to detail and commitment to data integrity.
  • Excellent client-facing communication, both written and verbal.
  • Comfort and proficiency with AI tools, daily use of AI and automation in data work.
  • Proficiency in Excel and familiarity with data/automation tools.
  • Good understanding of private fund mechanisms and operations.
  • Structured, process-oriented mindset with strong organizational skills.
  • Fresh grads are welcome to apply.

Responsibilities

  • Gather real estate fund information from diverse public sources and fund managers.
  • Ensure accuracy, reliability and integrity of collected data through validation and QA processes.
  • Identify and resolve outliers, anomalies and inconsistencies before publication.
  • Communicate with clients and fund managers using standardized questionnaires and clear methodologies.
  • Utilize AI tools and automation to accelerate data collection and quality checks.
  • Contribute to data flow design and automate data collection/QA processes.
  • Analyze data trends to support data-quality decisions and provide explanations to stakeholders.
  • Document processes, controls and validation logic for auditability.

Skills

Strong analytical capabilities
Exceptional attention to detail
Excellent client-facing communication
Comfort and proficiency with AI tools
Proficiency in MS Excel
Familiarity with data and automation
Understanding of private fund Mechanis
Structured, process-oriented mindset
Data science background (advantage)

Tools

AI tooling platforms
MS Excel

Job description

Your Team 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 Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry‑leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research‑based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private‑market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e‑mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

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