(Senior) Analytics Engineer (m/f/d) - Shop Analytics

Company Description

Job Description

We are looking for a (Senior) Analytics Engineer (m/f/d) to be part of the development of our Shop Analytics Team. Our Shop Analytics Team circle is embedded in our circle cluster “Customer & Shop Intelligence” and works in close cooperation with Tracking & Marketing Intelligence teams.

Become a key player in our dynamic Shop Analytics team, where you'll design and implement scalable data solutions that power our retail media ecosystem. As an Analytics Engineer, you'll take ownership of building robust data pipelines for partner reporting, refining our ad revenue attribution models, and ensuring top-tier data quality across all our deliverables.

In this role, you'll collaborate closely with business stakeholders to develop automated reporting solutions that not only streamline internal processes but also empower our partners with easy access to actionable performance insights. 
 

What you will do

• Design, build, and maintain high-performance, scalable, and well-documented data pipelines
• Develop and implement a statistical testing framework to evaluate and visualize the impact of new features in collaboration with other teams
• Create automated monitoring and alerting systems to ensure data integrity and proactively identify anomalies
• Lead the migration of data infrastructure from legacy systems, minimizing disruption and maximizing performance
• Set data engineering standards, share knowledge, and promote best practices within the team
   

Who you are

• At least 3 years of working experience as Analytics Engineer
• Proven experience building and maintaining large-scale data pipelines using SQL and Python
• Experience building and maintaining dashboards using at least one modern BI tool like Looker, Tableau, Power BI, or open-source alternatives like Streamlit or Dash
• Expertise in Python libraries like Pandas, and NumPy for data manipulation, and libraries such as Matplotlib, Seaborn, Plotly, or Bokeh for data visualization
• Expertise in statistical testing frameworks (e.g., SciPy, StatsModels, dplyr, tidyr) with Python or R
• Solid understanding of statistical testing methodologies
• Proficiency in data orchestration tools (like Airflow, dbt, metaflow, …)
• Experience working with raw tracking data (GA4 experience is a plus)
• Strong grasp of version control (e.g., GitLab) and data warehousing principles (e.g., Google BigQuery)
• Able to work and drive topics independently with stakeholders
• Excellent communication skills to convey complex ideas clearly and simply
• Excellent written and verbal communication skills in English
• Pragmatic problem solver who thrives on getting things done
   

Nice to have
 

• In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
• Experience with CI/CD tools like GitLab CI/CD and infrastructure-as-code tools such as Terraform
• Familiarity with GCP or AWS, particularly infrastructure-as-code and CI/CD pipelines.
• Practical experience with containerization technologies like Docker
   

What you will get on top
 

• Grow together with one of the fastest growing eCommerce companies in Europe
• Flexible working times
• 40% discount on our online shop
• Fresh fruits + drinks everywhere
• Language courses (German & English)
• Free sports courses & reduced price for gym membership
• Subsidized public transportation ticket
• Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage
• State-of-the-art tech stack running on AWS
• Modern office in the city center of Hamburg
• International working environment and English as company language
• Company flats (subject to availability)
• Agile work environment (MOVE) and cross-functional teams
• Free access to Germany’s greatest developer conference code.talks
• German health insurance included
• Help in relocation and VISA process