Post - Silicon Validation Engineer at Intel validating CPU/SOC architectures for laptops and desktops. Collaborating with cross - functional teams to ensure product reliability and performance.
CG
Hybrid Analytical Engineer – Fashion Industry, Willing to relocate to Tyrol
Posted last month
About the role
- Analytical Engineer driving digital transformation and data strategy in the fashion industry. Collaborating across E-Commerce, Marketing, and IT to enable data-driven decisions.
Responsibilities
- You develop reliable data foundations for strategic and operational decisions across online retail, customer experience and sales.
- You work closely with E‑Commerce, Marketing, IT and Retail:
- 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 advancing a central Data Lake as the single source of truth
- Harmonization and integration of various data sources (shop system, CRM, ERP, marketing tools, POS)
- Designing and implementing modern analytics architectures in collaboration with IT and Data Engineering
- Automation of reporting and quality assurance
- Promoting innovation, AI use cases and data‑driven automation
- Active participation in transformation projects for the company’s digital advancement
Requirements
- Degree in Data Analytics, Business Informatics, Statistics or Business Administration
- At least 3 to 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 an advantage
- Initial experience in developing dataflows, semantic data models and modern data architectures
- Interest in CRM analysis, customer segmentation and Customer Lifetime Value
- Enthusiasm for automation, AI‑driven analytics and data‑driven innovation
- Enjoy working with data and staying up to date on new tools, trends and AI
- Very good German and good English, both written and spoken, for optimal team communication
Benefits
- Gross monthly salary from €5,000 (paid 14 times per year)
- Willingness to pay above the base salary depending on qualifications and experience
- Flexible working hours and part‑time option from 30 hours
- Hybrid work with two to three on‑site days in Kitzbühel
- Free lunch and modern kitchen + in‑house chef
- Employee discounts, bike leasing, corporate benefits and complimentary event tickets
- Provident fund and long‑term development opportunities
- Personal onboarding with direct connection to the E‑Commerce team
- Support for home office setup & a Feng Shui‑aligned headquarters
- A collegial environment with a clear brand identity and a digital growth mindset
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