Data Management Intern

Overview

Who We Are

Revantage is a Corporate Services affiliate of The Blackstone Group, the world’s largest alternative investment firm.  In Pursuit of Better, we deliver exceptional customer experiences to Blackstone and its portfolio companies that enable them to thrive.  Revantage provides a highly skilled employee base and state-of-the-art technology to further our key focus on providing best in class Corporate Services to multiple Blackstone real estate portfolio companies.  Sectors include Hospitality, Industrial, Multi-Family, Office, Retail, Senior Housing, and Manufactured Homes. 

Revantage Europe, headquartered in Luxembourg, is one of four global offices that includes Revantage Asia, Revantage North America, Australia and New Zealand.

What We Value - Our CultureCreating a culture that inspires change and momentum requires the right team. We know what it takes to lead an industry, and are looking for leaders who seek constant growth, want to excel, and continuously improve upon themselves and the industry. The culture at Revantage is built on our shared core values and commitment to be:

• Achievers - We expect high standards for ourselves and enable the success of our teams.
• Enthusiasts - We face challenges with optimism and believe anything is possible.
• Leaders - We commit to continuously improve our performance.
• Learners - We learn from our challenges, successes and the diversity of our people.
• Partners - We deliver value and positive impact to our partners.

Why This Internship Is Valuable

As a Data Management intern, you will work alongside our Data team on real, live projects rather than on the sidelines. You will gain hands-on exposure to the data behind one of Europe's largest real estate portfolios, learn how data, analytics and AI are used to support investment and operational decision-making, and build practical skills in SQL, business intelligence and automation. You will be given ownership of your own deliverables, regular feedback and a mentor within the team, so that by the end of the internship you have a portfolio of work you can genuinely point to.

Responsibilities

• Data Analysis & Transformation: Support the extraction, cleaning and transformation of data from a range of source systems using SQL and other data tools.
• AI & Automation Support: Assist in exploring AI and Large Language Model (LLM) applications to improve workflows, automate repetitive tasks, and extract insights from structured and unstructured data.
• Analytical Projects: Contribute to data analysis initiatives to identify trends, support decision-making, and help solve business challenges.
• Reporting & Visualization: Assist in building dashboards, reports, and visualizations using tools such as Power BI and Sigma to communicate key insights.
• Cross-Functional Collaboration: Work with colleagues across Finance, Operations and Technology to understand business needs and support the delivery of data-driven solutions.
• Business & Real Estate Insights: Develop an understanding of financial and real estate concepts and apply them to data analysis when relevant.
• Innovation & Continuous Learning: Translate academic knowledge into practical business applications, contribute fresh ideas and share what you learn back with the team.

What You Will Gain

• Practical experience with an enterprise data stack (SQL, Power BI, Sigma) used on a live European real estate portfolio.
• Structured mentoring from an experienced Data Management professional, with regular feedback and check-ins.
• Exposure to an international, multilingual team and the professional network that comes with it.

Qualifications

What You Bring To The Role

• Currently pursuing a Bachelor's or Master's degree in Engineering, Mathematics, Data Science, Computer Science, Statistics, Economics, Finance, or another quantitative field.
• Strong interest in data analytics, business intelligence, and emerging AI technologies.
• Basic knowledge of SQL and an interest in working with data transformation and analysis.
• Familiarity with Python.
• Exposure to BI and visualization tools such as Power BI, Sigma, or similar platforms is a plus.
• Good understanding of statistics, mathematics, and analytical problem-solving concepts gained through academic studies.
• Interest in finance, investments, or real estate is advantageous.
• Curious, proactive, and eager to learn in a fast-paced environment.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively within cross-functional and international teams.
• Previous internship, academic project, or coursework related to data analytics, AI, or business intelligence would be considered a plus.
• Business fluency in English; additional European languages are an asset.