Senior Analytics Engineer – Shop Analytics

Role Overview

Design, build, and maintain robust and scalable data pipelines to enable comprehensive shop performance analysis and reporting for retail media partners.

What You Will Do

Develop and implement automated reporting solutions, further develop revenue attribution models, and expand reporting functionalities for our advertising platform.

Why It Might Be a Fit

Excellent SQL skills, experience with data transformation tools, and in-depth knowledge of data modeling are required. Self-motivation, excellent communication skills, and a structured working style are also necessary.

Requirements

• at least 5 years of relevant work experience
• excellent SQL skills, including query optimization in big data environments
• experience with data transformation tools (e.g. dbt) in the big data context
• in-depth knowledge of data modeling with a focus on robust and flexible data models for high-volume event and tracking data
• solid understanding of frontend tracking and the implementation of web analytics (e.g. GA4)
• experience with data orchestration tools (e.g. Dagster, Airflow) and cloud-based big data platforms (e.g. Google BigQuery, AWS Redshift)
• experience with optimization techniques such as partitioning and clustering
• high level of self-motivation and the ability to drive projects independently
• excellent communication skills for collaboration with various stakeholders
• structured, solution-oriented working style with high attention to detail
• ability to translate business requirements into technical solutions
• team-oriented working style and experience in collaboration with cross-functional teams

Benefits

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