
Analytical Engineer, E‑Commerce
ANGEHEUERT ⚓ | Recruiting as a Service & Employer Branding
full-time
Posted on:
Location Type: Hybrid
Location: Kitzbühel • Austria
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Salary
💰 €5,000 per month
About the role
- You will develop robust data foundations to support strategic and operational decisions related to online retail, customer experience and sales.
- You will work closely with E‑Commerce, Marketing, IT and Retail teams.
- Analyze shop, CRM, marketing and customer data.
- Performance analyses for campaigns and channels.
- Create and maintain interactive dashboards in Power BI and Looker Studio.
- Develop forecasts and KPI models.
- Build and further develop a central data lake as a single source of truth.
- Harmonize and integrate various data sources (shop system, CRM, ERP, marketing tools, POS).
- Design and implement modern analytics architectures in collaboration with IT and Data Engineering.
- Automate reporting and ensure data quality.
- Promote innovation, AI use cases and data‑driven automation.
- Actively participate in transformation projects to advance the company’s digital development.
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 architecture
- 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 spoken and written, for optimal team communication
Benefits
- Gross monthly salary from €5,000 x 14
- Willingness to pay above scale depending on qualifications and experience
- Flexible working hours and part‑time option from 30 hours
- Hybrid working with two to three on‑site days in Kitzbühel
- Free lunch and modern kitchen plus in‑house chef
- Employee discounts, bike leasing, Corporate Benefits and free tickets for events
- Pension fund and long‑term development opportunities
- Personal onboarding with direct connection to the E‑Commerce team
- Support for home office setup & a headquarters designed according to Feng Shui
- A collegial environment with a clear brand identity and a digital momentum
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsbusiness intelligencedigital analyticsSQLdataflowssemantic data modelsmodern data architectureKPI modelsdata qualityautomation
Soft Skills
team communicationenthusiasm for innovationinterest in customer segmentationdata-driven mindsetadaptability to new tools and trends
Certifications
degree in Data Analyticsdegree in Business Informaticsdegree in Statisticsdegree in Business Administration