ANGEHEUERT ⚓ | Recruiting as a Service & Employer Branding

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

Job Level

Mid-LevelSenior

Tech Stack

AzureERPSQL

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
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