ANGEHEUERT GmbH is recruiting a Data Analyst E-Commerce (m/w/d) for a family-run luxury fashion and lifestyle company undergoing a significant digital transformation. You will play a central role in driving data-based decisions, focusing on enhancing customer experience and business success through actionable insights.

What You'll Do

Analyze online performance, paid media, CRM data, and customer journeys.
Develop reports, dashboards, and forecasts for various stakeholders.
Derive concrete recommendations for optimizing sales and marketing strategies.
Build and maintain a central data lake in collaboration with IT and E-Commerce teams.
Integrate and harmonize diverse data sources from the Shop, CRM, ERP, POS, and Marketing platforms.
Ensure data quality and consistent data structures across systems.
Visualize and automate KPIs using tools like Looker Studio and Power BI.
Support agile projects and advise internal departments on KPI definition and reporting.
Co-design the implementation of new tools and data-driven processes.

What We're Looking For

Completed degree in Data Analytics, Business Informatics, Business Administration, or a comparable field.
Initial professional experience in Digital Analytics, BI, or Data Strategy, including relevant internships.
Practical knowledge of Google Analytics (GA4), Looker Studio, and Power BI.
Basic knowledge of SQL.
A strong interest in Paid Media, CRM, and Customer Journey analysis.
A structured, solution-oriented work approach and a high degree of personal responsibility.
Very good German skills and good English for optimal company-wide communication.

Nice to Have

Experience with Tag Management Tools like Google Tag Manager.
SAP experience, AI affinity, or initial project work in the Data Science field.

Technical Stack

Google Analytics (GA4)
Looker Studio
Power BI
SQL
Google Tag Manager

Team & Environment

You will work in direct exchange with the E-Commerce, IT, and Marketing teams within a family-like, supportive working atmosphere characterized by flat hierarchies.

Benefits & Compensation

Monthly gross salary from €3,000 x 14, with willingness to overpay depending on experience.
Flexible working hours with a part-time option from 30h.
Hybrid work model with up to 2-4 home office days per week.
Home office setup provided.
Free lunch provided by an in-house chef.
Employee discounts, bike leasing, corporate benefits, and event tickets.
Provident fund and long-term personal and professional development opportunities.
Structured personal onboarding.
Clear career paths within a crisis-proof global player.
The chance to help shape data-driven initiatives from the ground up.