Location 🌎

Remote, EMEA

About Us 🏠

Nomad Homes is a software-enabled marketplace for residential real estate across Europe and the Middle East (EMEA). We currently operate in France, Spain, Portugal, and the UAE. Our mission is to empower agents to earn more and deliver a great experience for both buyers and sellers so that home ownership is simple and efficient because agents are empowered to collaborate with one another.

EMEA's residential real estate suffers from inefficiencies due to the absence of an MLS-like platform (the infrastructure for real estate in the US). Despite an estimated $1.5 trillion transactions per year, this lack of cohesion and infrastructure hampers collaboration among agents, leaves buyers unrepresented, and increases transaction friction, limiting liquidity and market growth.

We have assembled the best team and investors to tackle this problem. Our executive team is former Uber, Addepar, Cera, and Blackstone. Despite the VC-winter, we recently raised $20 million led by Acrew, and count other investors like former Twitter executives Dick Costolo and Adam Bain, the former Zillow CEO Spencer Rascoff, and Opendoor CEO Eric Wu as supporters of Nomad Homes.

Data is a cornerstone of our decision making. This is why we are looking for a Data Analyst to join the CEO’s team.

You have the opportunity to fundamentally change the largest asset class in the world, let’s do it!

As a Data Analyst at Nomad, you will 🛠️

• Lead the analysis of complex data sets to identify trends, patterns, and insights that drive strategic business decisions.
• Collaborate with various teams to understand their data needs, and provide actionable insights through advanced analytics.
• Design and maintain custom dashboards and reports to track key business metrics.
• Use statistical tools and models to predict future trends and provide recommendations.
• Participate in the design and implementation of data collection systems, ensuring the highest level of data quality.
• Work closely with the data engineering team to streamline data pipelines and improve data processing.
• Present findings and insights to senior leadership, influencing strategy and operations.
• Mentor junior data analysts and promote a data-driven culture across the organization.
• Stay updated with the latest techniques in data analysis and visualization.

What We Look For 🔍

Experience