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CG
Hybrid Analytical Engineer – Fashion Industry
Posted last month
About the role
- Analytical Engineer driving digital transformation in a fashion company. Focused on data-driven E-Commerce and CRM strategies with collaborative environment.
Responsibilities
- You develop robust data foundations for strategic and operational decisions related to online retail, customer experience and sales.
- You will work closely with E‑Commerce, Marketing, IT and Retail teams.
- Analysis of shop, CRM, marketing and customer data
- Performance analyses for campaigns and channels
- Creation and maintenance of interactive dashboards in Power BI and Looker Studio
- Development of forecasts and KPI models
- Building and further developing a central data lake as the single source of truth
- Harmonization and integration of various data sources (shop system, CRM, ERP, marketing tools, POS)
- Design and implementation of modern analytics architectures in collaboration with IT and Data Engineering
- Automation of reporting and quality assurance
- Promotion of innovation, AI use cases and data‑driven automation
- Active participation in transformation projects for the company’s digital development
Requirements
- Degree in Data Analytics, Business Informatics, Statistics or Business Administration
- At least 3–5 years of experience in Digital Analytics, Business Intelligence or data‑driven Marketing
- Strong knowledge of Google Analytics 4, Looker Studio, Power BI and SQL
- Experience with Microsoft Fabric, Dynamics 365 or Azure Data Services is a plus
- Initial experience developing dataflows, semantic data models and modern data architecture
- Interest in CRM analytics, customer segmentation and Customer Lifetime Value (CLV)
- Enthusiasm for automation, AI‑driven analytics and data‑driven innovation
- Enjoy working with data and keeping up with new tools, trends and AI
- Very good German and good English, both written and spoken, for effective team communication
Benefits
- Gross monthly salary from €5,000 (paid 14 times per year)
- Willingness to pay above this depending on qualifications and experience
- Flexible working hours and a part‑time option from 30 hours/week
- Hybrid working with two to three on‑site days in Kitzbühel
- Free lunch and a modern kitchen with an in‑house chef
- Employee discounts, bike leasing, corporate benefits and complimentary event tickets
- Pension fund contributions and long‑term development opportunities
- Personal onboarding with direct connection to the E‑Commerce team
- Support for home office setup and a Feng Shui‑oriented headquarters
- A collegial environment with a clear brand identity and a digital growth mindset
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