• Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met. 
• Help integrating customer touchpoints across marketing, commerce, and operations. 
• Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM. 
• Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders. 
• Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP. 
• Follow version control, CI/CD, and documentation standards using Azure DevOps and Git. 
• Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions. 
• Proactively monitor data accuracy and flag integrity issues in analytical models. 

This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization’s data-driven decision-making.

Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.

For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.

This is you

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;

• A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;

• Ideally you have some understanding of AI applied analytics, such as Databricks Genie;

• Proven experience in querying, analyzing, and managing large datasets;

• Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;

• Strong experience in dashboard development and data visualization, with understanding of data relationships;

• SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;

• Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;

• • Analytical skills for interpreting critical and complex data sets.This is what we offer