Analytics Engineer - Shop Analytics (all genders)

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 is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

• 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

• You have at least 3 years of relevant experience
• Advanced SQL skills, including query optimization for big data environments
• Experience with data transformation tools (e.g., dbt) in big data contexts
• Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
• Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
• Proficiency with data orchestration tools (such as, Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
• Experience with optimization techniques (partitioning, clustering)
• Strong ability to work independently and drive projects forward
• Excellent communication skills for collaborating with diverse stakeholders
• Problem-solving approach with attention to detail
• Ability to translate business requirements into technical solutions
• Collaborative mindset, with experience working in cross-functional teams

Nice to Have

• In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
• Practical experience with containerization technologies (e.g., Docker)

Your perks at a glance: Visit our benefits page.

A Place Where You Can Be You

We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.

Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.

What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.