Senior Housing Economist

Why This Role

Immoweb is Belgium's reference real estate platform, helping millions of people find a home across the country. Here, data is not a support function: it is a core driver of product, business strategy and market transparency.

Why This Role

Immoweb is Belgium's reference real estate platform, helping millions of people find a home across the country. Here, data is not a support function: it is a core driver of product, business strategy and market transparency. By joining the Housing Data Science & Economics tea, you will turn the richness of our data into indicators, content and product features that create real value for our users and strengthen Immoweb's position as the reference for the Belgian housing market. You will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium.

The Team You’ll Join

You will also be part of a great international team: Immoweb belongs to AVIV Group, a leading European PropTech company whose brands include Immowelt, SeLoger and Meilleurs Agents, giving you access to housing data far beyond Belgium. A highly collaborative environment with top-tier data and research experts. Exposure to European housing markets (Belgium, France, Germany).

What You’ll Own

• Economics & content: market indicators, research and storytelling,
• Data science & modelling: Python-based analysis & production, and housing market insights models,
• Leadership & partnership: initiatives that bring housing data into actionable marketing actions and impactful product evolutions, from idea to impact.

Your objective:

lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business.

Data Science

• Explore, clean, and analyze diverse datasets to extract relevant insights,
• Identify key market indicators and build tailored quantitative or machine learning models (AVM or hedonic indices-type),

Maintain and regularly update market indicators autonomously using clean, efficient, and well-structured code.

Housing economics x Marketing

• Turn indicators into strategic content: market reports, Press Releases, SEO pages and editorial articles to bring traffic and visibility,
• Developing and maintaining data collaborations with academia, public institutions and private sector partners.
• Position Immoweb as the trusted expert of the Belgian housing market.

Housing decision making x Product

• Identify valuable tools for users related with housing decision making,
• Translate housing data and market insights into interpretable insights and decision-making tools for sellers, buyers and professionals
• Prototype data products and dashboards (e.g. Streamlit) and automate recurring analyses

Leadership & quality

• Lead cross-functional initiatives with Marketing and Product teams: define the opportunity, align stakeholders, deliver and measure impact
• Ensure data quality, consistency and economic robustness of all outputs
• Set methodological standards, review code and share knowledge with the team

What We’ll Achieve Together

Your objective: lead initiatives that turn market data into content, tools and features that create value for the platform; their users and the business.

• Direct impact on millions of users and strategic business decisions within Immoweb as well as on agents and partner’s side.
• A leading role in shaping Immoweb’s data-driven offering in Belgium
• The opportunity to become a spokesperson for Immoweb on the Belgian housing market (media, press and events). We’ll put the necessary training in place to reach the highest possible standards.

What You Bring

Education & experience

• Master’s degree in Economics, Econometrics, Data Science or a related field
• 5+ years of experience in data science, applied economics or market analytics, including leading projects and initiatives
• Experience in housing, real estate or marketplace/classifieds is strongly preferred

Technical & Analytical Skills

• Advanced Python (pandas, numpy, statistical modelling) and solid SQL; clean, reproducible, versioned code
• Strong statistics and econometrics: regressions, hypothesis testing, price indices, clustering, forecasting
• Experience building data products, dashboards or analytical apps and working with large, imperfect datasets
• Strong capacity to validate results, stress-test models and check that outputs make real-world sense
• Ability to turn data into clear indicators, stories and content for non-technical audiences<