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
Job title
Analytical Engineer – Fashion Industry, Willing to relocate to Tyrol
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