Analytics Engineer H/F

About Emeria

Emeria is a world leader in real estate services and technologies, offering services to individuals and companies. Emeria supports residential and commercial clients at every stage of their real estate journey, offering a full range of competitive services: acquisition, rental, condominium management, and transactions. The Group operates mainly in Europe, in 8 countries, under a multi-brand strategy (Foncia, Constatimmo, Esset…).

About the Analytics team

The Analytics team is part of the Data department, responsible for AI and data for the Emeria group. It centralizes and manages all group data – ERP, business tools, international subsidiaries – to create dashboards and analyses that illuminate strategic decisions.

The team operates like a startup within the group: agile approach, high degree of autonomy, close collaboration with business units, and a genuine culture of sharing and curiosity.

Your responsibilities

As an Analytics Engineer, you are at the heart of data transformation: from its collection in our data platform (Snowflake) to the creation of understandable and effective dashboards accessible to more than 10,000 employees.

Your goal? Transform raw data into actionable insights so that every decision in the company is based on concrete and up-to-date facts.

Your responsibilities include:

You are the Data Business Partner for Business Units:

• Understanding and translating needs: you collaborate with business units (Real Estate, Finance, Marketing, Accounting…) to understand their challenges, formalize their needs, and translate them into concrete data solutions.
• Giving meaning to figures: you don't just create dashboards, you understand what they mean. You put data into context, identify trends, and help teams make the right decisions.
• Industrializing analytics: there's no such thing as a one-off analysis here. Every dashboard, every data extract is designed for reusability and scalability. You centralize needs, optimize existing solutions, and make every insight accessible to everyone, all the time.
• Collaborating with technical teams: you work closely with Data Scientists, DevOps, and other experts to ensure the reliability, performance, and quality of data.

You develop and maintain data models:

You are responsible for the robustness and reliability of our data architecture. You create, develop, and optimize the models that feed our dashboards and analytical tools so that every piece of data truly serves its purpose.

Building and running the mechanism:

• Build → you develop new data pipelines, dashboards, and tools to meet business needs and support the group's growth.
• Run → you ensure technical maintenance, fix any bugs, analyze incidents, and evolve existing pipelines to keep them performant and reliable.
• Intelligent data modeling: you structure and optimize data models for reporting and analysis. You think primarily about architecture: how to store data efficiently, durably, and usable, while keeping the necessary history for detailed analysis.
• Ensuring quality and reliability: you ensure that every reported figure is accurate. You implement best practices for data governance and quality control to ensure data integrity across the company.
• Staying at the forefront: you constantly monitor technologies to identify new trends and improve our processes, tools, and practices.

Profile

You have at least 1-2 years of experience as an Analytics Engineer or Data Analyst, and you have a perfect understanding of end-to-end data handling.

You are comfortable with code industrialization tasks, know how to model data, and build robust pipelines (dbt or equivalent).

You are proactive: you identify areas for improvement and don't hesitate to challenge existing solutions.

Autonomous and resourceful, you seek out information yourself, explore data, and are willing to dive into the code to understand what's happening.

Good communication is another superpower of yours: you know how to simplify technical topics, making them understandable and accessible to everyone.

Naturally curious, you are interested in business challenges and always ask the right questions to give meaning to figures.

You have a perfect command of SQL and a visualization tool (Tableau is a big plus).

Your analytical and logical mindset allows you to structure your thoughts and act pragmatically.

Clear, concise, pedagogical: you know how to share your knowledge and make data understandable, even for a non-technical audience.

Excellent data analysis and modeling skills: you understand how to transform figures into concrete levers for action.

You are proficient with Git and best practices for version control.

Bonus:

• Experience with Python for automating or enriching your data analyses.
• Good knowledge of the AWS environment.

Recruitment process and information:

• A 30-minute video call with Chloé, our Talent Acquisition Specialist.
• A 1-hour video call with Florian, our Lead Data Analyst, to discuss your profile, motivation, and present our team to show you what we have to offer.
• A 1-hour technical interview at our office with two members of the data team to test your logic and SQL skills.
• A 30-minute video call with Florent, Chief Data Officer.

Salary range: €40-50K

Location: La Défense (2 days remote work per week)