Remote (Senior) Analytics Engineer (m/f/d) - Customer & Shop Intelligence

Description:

• We are looking for a (Senior) Analytics Engineer (m/f/d) to be part of the development of our Customer & Shop Intelligence Circle Cluster.
• The Circle Cluster consists of a wide range of developers, data analysts, and data scientists who work on enabling personalization and inspiration in our shop.
• They work with a wide range of stakeholders and are key enablers to support the business towards achieving goals and objectives as well as making educated decisions based on data.
• The overarching goal is to help improve and personalize users’ shopping experience.
• The Team is responsible for defining tracking requirements, creating and maintaining data pipelines, designing and implementing attribution and scoring models, analyzing and interpreting complex data sets, and creating actionable dashboards.
• Your specific focus will be on providing stable and maintainable data pipelines and improving automated data quality monitoring.
• You will design, build, and maintain high-performance, scalable, and well-documented data pipelines.
• You will develop and implement a statistical testing framework to evaluate and visualize the impact of new features in collaboration with other teams.
• You will create automated monitoring and alerting systems to ensure data integrity and proactively identify anomalies.
• You will lead the migration of data infrastructure from legacy systems, minimizing disruption and maximizing performance.
• You will set data engineering standards, share knowledge, and promote best practices within the team.

Requirements:

• You must have at least 3 years of working experience as an Analytics Engineer.
• You should have proven experience building and maintaining large-scale data pipelines using SQL and Python.
• You need 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.
• You should have expertise in Python libraries like Pandas and NumPy for data manipulation, and libraries such as Matplotlib, Seaborn, Plotly, or Bokeh for data visualization.
• You must have expertise in statistical testing frameworks (e.g., SciPy, StatsModels, dplyr, tidyr) with Python or R.
• A solid understanding of statistical testing methodologies is required.
• You should be proficient in data orchestration tools (like Airflow, dbt, metaflow, …).
• Experience working with raw tracking data is necessary, and GA4 experience is a plus.
• You must have a strong grasp of version control (e.g., GitLab) and data warehousing principles (e.g., Google BigQuery).
• You should be able to work and drive topics independently with stakeholders.
• Excellent communication skills to convey complex ideas clearly and simply are essential.
• You must have excellent written and verbal communication skills in English.
• You should be a pragmatic problem solver who thrives on getting things done.

Benefits:

• You will grow together with one of the fastest growing eCommerce companies in Europe.
• Flexible working times are offered.
• You will receive a 40% discount on our online shop.
• Fresh fruits and drinks will be available everywhere.
• Language courses (German & English) will be provided.
• Free sports courses and reduced price for gym membership are included.
• A subsidized public transportation ticket will be offered.
• You will have free choice of hardware and operating system (Mac, Windows, Linux) also for private usage.
• You will work with a state-of-the-art tech stack running on AWS.
• A modern office in the city center of Hamburg will be provided.
• You will be part of an international working environment with English as the company language.
• Company flats may be available (subject to availability).
• An agile work environment (MOVE) and cross-functional teams will be part of your experience.
• You will have free access to Germany’s greatest developer conference code.talks.
• German health insurance is included.
• Help in relocation and VISA process will be provided.