Shop Analytics Engineer: Build Data Pipelines & Insights

ABOUT YOU SE & Co. KG; Belgique; On-site; EUR 70,000 - 90,000; Full time

Job summary

ABOUT YOU SE & Co. KG is a fast-growing European ecommerce company expanding its data capabilities across markets including Belgium. We design scalable data pipelines and analytics to optimize shop performance and retail media partnerships.

Join a cross-functional team of product, tech, and marketing to build automated reporting, improve revenue attribution, and ensure data quality. You will translate business needs into robust, scalable data solutions and drive forward with a collaborative,

Qualifications

• 3+ years of relevant analytics/data engineering experience.
• Strong SQL skills with performance optimization for big data.
• Experience with data transformation tools (dbt) in big data contexts.
• Understanding of frontend tracking and GA4.

Responsibilities

• Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
• Design and build automated reporting solutions based on business stakeholder requirements
• Enhance revenue attribution models and expand reporting capabilities for our advertising platform
• Maintain ownership of data quality across our data assets
• Work cross-functionally with product, tech, and retail media teams

Skills

Advanced SQL

dbt

Data modeling

GA4

Dagster

Airflow

BigQuery

AWS Redshift

Partitioning

Clustering

Independent work

Communication skills

Tools

Dagster

Airflow

dbt

Google BigQuery

AWS Redshift

Job description

ABOUT YOU SE & Co. KG is a fast-growing European ecommerce company expanding its data capabilities across markets including Belgium. We design scalable data pipelines and analytics to optimize shop performance and retail media partnerships.

Join a cross-functional team of product, tech, and marketing to build automated reporting, improve revenue attribution, and ensure data quality. You will translate business needs into robust, scalable data solutions and drive forward with a collaborative,