Data Management - Analyst

Overview

Who we “R” 

Revantage Europe is a professional corporate services company that embraces ambition and innovation to service Blackstone’s European real estate investments. 

Blackstone is the world’s largest alternative asset manager, with a real estate portfolio that includes industrial & logistics, residential, office, hospitality and retail properties in North America, Europe, Asia, Australia and New Zealand. 

What We Value - Our Culture 

Creating 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. 

Responsibilities

The role supports the transformation of raw data into meaningful business insights. Utilizes analytical tools and techniques to collect, analyze, and present data in a clear and actionable manner. Works closely with stakeholders and cross-functional teams to understand business requirements, identify areas for improvement, and support data-driven decision-making. Contributes to reporting, documentation, process optimization, and business analysis efforts while continuing to develop technical and business expertise.

• Data Extraction & Preparation: Write and maintain SQL queries to extract, validate, and prepare data from Snowflake and the business systems feeding it.
• View Development: Support the build and maintenance of Snowflake business views used across reporting, working in a version-controlled environment such as Azure DevOps (branching, pull requests, and peer review) with guidance from the wider team.
• Data Analysis: Analyze datasets to identify trends, patterns, and opportunities that support business decision-making and operational improvements.
• AI & Automation Support: Assist in leveraging AI and LLM-based tools to improve workflows, automate repetitive tasks, and extract insights from structured and unstructured data.
• Dashboarding & Reporting: Develop and maintain dashboards and reports in Sigma, Power BI, or similar BI tools to provide meaningful insights to stakeholders, including recurring reporting cycles.
• Business Collaboration: Work closely with cross-functional teams to understand business requirements, respond to incoming data requests, and support the delivery of data-driven solutions.
• Data Quality & Governance: Contribute to maintaining data accuracy, consistency, and integrity across reporting and analytical processes, validating output before it is shared, and keeping report documentation up to date.
• Real Estate & Financial Insights: Develop an understanding of basic real estate and investment concepts to help contextualize analyses and reporting.
• Continuous Improvement: Stay current with emerging analytics and AI technologies and contribute ideas to enhance business processes and reporting capabilities.

Qualifications

• 1-2 years of experience in data analytics, business intelligence, data science, or a related field.
• Degree in Engineering, Mathematics, Computer Science, Statistics, Economics, Finance, or another quantitative discipline.
• Working knowledge of SQL with experience querying, transforming, and validating data.
• Working knowledge of Python or another analytical programming language.
• Exposure to a BI and data visualization tool such as Sigma, Power BI, Tableau, or similar.
• Exposure to cloud data platforms such as Snowflake, Azure, or similar technologies, and to ETL and data preparation concepts.
• Exposure to version control and collaborative development workflows such as Git or Azure DevOps is an advantage.
• Strong analytical and problem-solving skills, with the ability to work with large datasets and turn data into clear, useful insights.
• Strong attention to detail and commitment to data quality, including checking your own output before it is shared.
• Effective communication and a collaborative mindset, with the ability to present findings to technical and non-technical audiences and work across teams.
• Interest in AI, machine learning, and emerging LLM technologies, including any use of AI-powered or automation tools in academic, internship, or professional projects.
• Basic understanding of financial, investment, or real estate concepts is an advantage.
• Eagerness to learn, develop new skills, and grow within a data-driven environment.