Company Description

About us

The AVIV Group is one of the world’s largest digital real estate tech businesses. AVIV’s unique family of leading brands include some of Europe’s best-known digital real estate classified companies: Groupe SeLoger and Meilleurs Agents (France), Immowelt Group (Germany), Immoweb (Belgium) and Yad2 (Israel). The AVIV Group invests in new and exciting business models that will shape the future of how consumers will buy, sell, rent or lend properties markets across Europe. Headquartered in Berlin, AVIV Group is proud to be supported by 2000 co-workers across France, Germany, Belgium and Israel. 

Job Description

As Lead Commercial and Revenue Data Analyst, you will use advanced analytical skills to solve various problems facing the business. You will play a critical role in championing the use of data to drive revenue growth from our products and services. 

You will be part of the Analytics team and work specifically for the Commercial and Pricing teams. You will work closely with the Commercial and Pricing teams to prioritize tasks, ensuring that the data you prepare addresses their specific questions. Additionally, you will collaborate with them to provide valuable insights, recommendations, and strategies that align with commercial goals and drive business success.

Your approach to achieving these objectives will vary from day to day. One day, you may be setting the strategic direction for key initiatives, the next you could be analyzing data and identifying trends to uncover insights, and on another day, you might focus on improving operational processes to enhance efficiency and effectiveness. Your role will require flexibility and the ability to adapt to evolving business needs while maintaining a focus on driving revenue growth. You need to be technically skilled and comfortable with spending time on data preparation, cleaning, and coding—particularly in SQL—since only clean data can deliver meaningful and reliable insights.

Your responsibilities

• Own the end-to-end data pipeline, ensuring that data is efficiently extracted, cleaned, and structured before analysis. Use SQL to query large datasets, optimize performance, and ensure data accuracy. Apply common data definitions to maintain consistency across reports and analyses, ensuring alignment with business metrics.

• Support the While Label migration process by maintaining legacy data requirements, ensuring data continuity, and helping design the optimal structure for future revenue analytics.

• Understand revenue performance and opportunities – Monitor trends in customer behavior and spending, analyze root causes, identify risks, and deliver actionable recommendations.

• Design analytical solutions – Work with the Commercial Finance team and other senior stakeholders to turn business questions into clearly scoped analytical projects.

• Deliver analytical projects end-to-end – Ensure work is robust, accurate, and delivered in a timely manner.

• Communicate results to drive impact – Share insights and results in a commercial and compelling manner, with strong data visualization.

• Build strong cross-functional relationships – Collaborate with leaders across Sales, Marketing, Customer Experience, Finance, Product, and other supporting teams.

• Provide support and oversight to strategic projects.

Your Profile

• Over 7 years of relevant experience in an analytical role, with a demonstrated ability to translate data insights into business impact.

• You have analytics skills and have experience on the following aspects:

  • Business Intelligence: extensive professional experience in the field of data analysis, business intelligence, or analytics engineering

  • Relational databases: expertise in working with relational databases 

  • AWS Athena familiarity: strong proficiency in working with AWS Athena, including the ability to efficiently query large datasets stored in S3 using SQL 

  • Advanced knowledge of SQL: deep understanding of advanced SQL techniques for complex data analysis

  • Dashboarding and data Visualisation: skilled in creating interactive and visually appealing dashboards using Tableau for effective data presentation

  • Python for Data Analytics: proficiency in Python for data analytics, enhancing the ability to automate processes and perform advanced analyses

• Strong analytical thinker, with success in uncovering and building business cases for new growth opportunities. Ability to apply effective financial and analytical frameworks.

• You possess a keen attention to detail, ensuring the accuracy and precision of data analysis and reporting

• Strong track record of working with senior leaders and collaborating cross-functionally.

• Ability to operate in an unstructured, fast-paced environment. Must show resilience and prioritize effectively in an evolving landscape.

• Strong intellectual curiosity, combining analytical skills, pragmatism, and strategic vision.

• You are solution-oriented and able to take initiative independently

• Ability to communicate effectively with international cross functional teams (fluency in English is required)