Real Estate Data Analyst

Real Estate Data Analyst

Full-Time 25650 - 31350 £ / year (est.) Home office (partial)
MSCI

At a Glance

  • Tasks: Analyse real estate data, ensuring accuracy and integrity while using AI tools for automation.
  • Company: Join MSCI, a diverse and inclusive employer committed to innovation.
  • Benefits: Enjoy flexible working, competitive pay, and comprehensive benefits tailored to your needs.
  • Other info: Be part of a global network that values creativity and collaboration.
  • Why this job: Make an impact in the finance world while developing your skills in a supportive environment.
  • Qualifications: Strong analytical skills and proficiency with AI tools; fresh grads are encouraged to apply.

The predicted salary is between 25650 - 31350 £ per year.

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:

  • 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.

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.

Real Estate Data Analyst employer: MSCI

MSCI is an exceptional employer that fosters a culture of high performance and innovation, encouraging employees to experiment with new ideas and take ownership of their results. With a strong commitment to inclusion and belonging, MSCI offers a supportive environment enriched by diverse Employee Resource Groups, providing ample opportunities for personal and professional growth. Located in a dynamic financial hub, the company empowers its team members to connect globally, collaborate on impactful projects, and leverage advanced technologies to drive better investment decisions.

MSCI

Contact Details:

MSCI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Real Estate Data Analyst

Get Involved in Local Property Events

Dive into local property expos and networking events! Real estate thrives on connections, so attending these events helps us meet potential employers and industry leaders, plus it's a chance to show off your enthusiasm for the field.

Connect with Local Agents on Social Media

Follow and engage with local real estate agents and firms on platforms like Instagram and LinkedIn. Sharing their posts and commenting with your insights can put you on their radar and might even lead to job opportunities at companies like MSCI.

Don’t Underestimate the Power of Cold Outreach

Got your eye on a specific company like MSCI? Don't hesitate to send a direct message or an email expressing your interest. Personalise your approach, maybe mentioning a recent listing or project of theirs, and it could set you apart from other candidates.

Utilise Property Management Platforms

Check out property management platforms and job boards tailored for the real estate sector. They often have exclusive listings, especially for full-time roles. Don't forget to visit MSCI's careers page directly; we love seeing passionate candidates applying through our website!

We think you need these skills to ace Real Estate Data Analyst

Analytical Skills
Attention to Detail
Data Quality Assurance
AI Tools Proficiency
MS Excel Proficiency
Client-Facing Communication Skills
Data Analysis

Some tips for your application 🫡

Show Your Real-Estate Savvy:When crafting your CV and cover letter, make sure to highlight any relevant experience in the real estate sector. If you've done internships, assistant roles, or even relevant coursework, lay it out clearly. We want to see your familiarity with market trends, property management, or any sales experience you've got under your belt!

Quantify Your Achievements:In real estate, numbers speak volumes! When detailing your past roles, use concrete figures to demonstrate your achievements. For example, mention how many properties you sold, the percentage increase in client satisfaction, or any successful negotiations. These metrics can give your application that extra punch it needs!

Tailor Your Documents for the Job:Every application should feel personal. When applying for the Real Estate Data Analyst role at MSCI, tweak your CV to focus on aspects that are important to them. If they value client relationships, emphasise your interpersonal skills. We want to see you aligning your experiences with what they're looking for!

Keep It Professional Yet Approachable:While we want you to show off your expertise, don't forget to let your personality shine through in your cover letter. A touch of friendliness can set you apart, especially in real estate where client interaction is key. Show that you're ready not just to work with the property but also with people!

How to prepare for a job interview at MSCI

Know Your Market Trends

In real estate, it’s all about staying ahead of the curve. Make sure we brush up on the latest market trends in the area where MSCI operates. Being able to discuss local property values, demand, and upcoming developments will show that we’re not just interested in the job, but genuinely invested in the industry.

Prepare for Scenario Questions

Expect some scenario-based questions during the interview. We might get asked how we’d handle different client situations or property evaluations. Preparing our responses for common real estate scenarios not only demonstrates our problem-solving skills but also shows that we can think on our feet in a client-facing role.

Showcase Your Connections

In full-time real estate, networking is key! Let’s think about our connections in the industry and what we can bring to MSCI. Whether it’s insights on prospective clients or relationships with local contractors, talking about these experiences can set us apart from other candidates.

Demonstrate Technical Savvy

Familiarity with different real estate software tools is a big plus. We should be ready to discuss any platforms we've used, whether it's for property management, CRM, or data analysis. Being comfortable with technology not only makes us more efficient, but also shows that we’re adaptable to the tools used at MSCI.