Analytics Engineer - Shop Analytics (all genders)

• 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)