Senior Analytics Engineer - Shop Analytics (all genders)

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Berlin, Germany
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Airflow Data Analysis Big Data BigQuery Cloud Computing Data Transformation Data Systems Decision Support Systems Google Analytics Query Optimization Web Analytics Sql Optimization
+5 more
Build Management Optimization Algorithms Data Analytics Front End Software Development Data Pipelines

Job description

Experteer Overview In this role you design, build, and maintain scalable data pipelines and automated reporting to support shop performance and retail media partner reporting. You contribute to revenue attribution models and expand analytics capabilities for the advertising platform, while owning data quality across assets. You will collaborate with product, tech, and retail media teams to translate business needs into robust data solutions. This is an opportunity to help drive data-driven decision making in a fast-growing, collaborative environment. Pay / Benefits * Design, build, and maintain robust, scalable data pipelines for performance and reporting * Design and build automated reporting solutions aligned with stakeholder requirements * Enhance revenue attribution models and expand reporting capabilities for advertising platform * Maintain ownership of data quality across data assets * Collaborate cross-functionally with product, tech, and retail media teams Tasks * at least 5 years of relevant experience * Advanced SQL with query optimization for big data * Experience with data transformation tools (e.g., dbt) in big data contexts * Data modeling expertise for high-volume event/tracking data * Strong understanding of frontend tracking and web analytics (GA4) * Proficiency with data orchestration tools (Dagster, Airflow) and cloud-based big data platforms (BigQuery, Redshift) * Experience with optimization techniques (partitioning, clustering) * Ability to work independently and drive projects forward * Excellent communication for collaborating with stakeholders * Problem-solving mindset and attention to detail * Ability to translate business requirements into technical solutions * Collaborative mindset for cross-functional work Key requirements *

Requirements

Experteer Overview In this role you design, build, and maintain scalable data pipelines and automated reporting to support shop performance and retail media partner reporting. You contribute to revenue attribution models and expand analytics capabilities for the advertising platform, while owning data quality across assets. You will collaborate with product, tech, and retail media teams to translate business needs into robust data solutions. This is an opportunity to help drive data-driven decision making in a fast-growing, collaborative environment. Pay / Benefits * Design, build, and maintain robust, scalable data pipelines for performance and reporting * Design and build automated reporting solutions aligned with stakeholder requirements * Enhance revenue attribution models and expand reporting capabilities for advertising platform * Maintain ownership of data quality across data assets * Collaborate cross-functionally with product, tech, and retail media teams Tasks * at least 5 years of relevant experience * Advanced SQL with query optimization for big data * Experience with data transformation tools (e.g., dbt) in big data contexts * Data modeling expertise for high-volume event/tracking data * Strong understanding of frontend tracking and web analytics (GA4) * Proficiency with data orchestration tools (Dagster, Airflow) and cloud-based big data platforms (BigQuery, Redshift) * Experience with optimization techniques (partitioning, clustering) * Ability to work independently and drive projects forward * Excellent communication for collaborating with stakeholders * Problem-solving mindset and attention to detail * Ability to translate business requirements into technical solutions * Collaborative mindset for cross-functional work Key requirements *

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