conSALT Personalmanagement GmbH

Analytical Engineer – Fashion Industry, Willing to relocate to Tyrol

conSALT Personalmanagement GmbH

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 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsbusiness intelligencedigital analyticsSQLGoogle Analytics 4Power BILooker Studiodataflowssemantic data modelsmodern data architectures
Soft skills
communicationteam collaborationinnovationenthusiasm for automationdata-driven mindset
Certifications
degree in Data Analyticsdegree in Business Informaticsdegree in Statisticsdegree in Business Administration