conSALT Personalmanagement GmbH

Analytical Engineer – Fashion Industry

conSALT Personalmanagement GmbH

full-time

Posted on:

Location Type: Hybrid

Location: Berlin • 🇩🇪 Germany

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Salary

💰 €5,000 per month

Job Level

Mid-LevelSenior

Tech Stack

AzureERPSQL

About the role

  • You develop robust data foundations for strategic and operational decisions related to online retail, customer experience and sales.
  • You will work closely with E‑Commerce, Marketing, IT and Retail teams.
  • 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 further developing a central data lake as the single source of truth
  • Harmonization and integration of various data sources (shop system, CRM, ERP, marketing tools, POS)
  • Design and implementation of modern analytics architectures in collaboration with IT and Data Engineering
  • Automation of reporting and quality assurance
  • Promotion of innovation, AI use cases and data‑driven automation
  • Active participation in transformation projects for the company’s digital development

Requirements

  • Degree in Data Analytics, Business Informatics, Statistics or Business Administration
  • At least 3–5 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 a plus
  • Initial experience developing dataflows, semantic data models and modern data architecture
  • Interest in CRM analytics, customer segmentation and Customer Lifetime Value (CLV)
  • Enthusiasm for automation, AI‑driven analytics and data‑driven innovation
  • Enjoy working with data and keeping up with new tools, trends and AI
  • Very good German and good English, both written and spoken, for effective team communication
Benefits
  • Gross monthly salary from €5,000 (paid 14 times per year)
  • Willingness to pay above this depending on qualifications and experience
  • Flexible working hours and a part‑time option from 30 hours/week
  • Hybrid working with two to three on‑site days in Kitzbühel
  • Free lunch and a modern kitchen with an in‑house chef
  • Employee discounts, bike leasing, corporate benefits and complimentary event tickets
  • Pension fund contributions and long‑term development opportunities
  • Personal onboarding with direct connection to the E‑Commerce team
  • Support for home office setup and a Feng Shui‑oriented 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 analyticsSQLdataflowssemantic data modelsmodern data architectureKPI modelsperformance analysisdata-driven marketing
Soft skills
team communicationenthusiasm for automationinterest in innovationadaptability to new toolscollaboration
Certifications
degree in Data Analyticsdegree in Business Informaticsdegree in Statisticsdegree in Business Administration