Redcare Pharmacy

Senior Data Analyst (m/f/d)

Stellenbeschreibung:

Overview

In this role you drive scalable data solutions for cross-functional teams at Redcare Pharmacy, supporting a major cloud-based analytics migration and enabling data-driven decisions. You will lead end-to-end analytics initiatives, shape technical direction, and mentor colleagues while advancing AI-enabled analytics. This position offers the chance to influence how data products scale across the business and to work on impactful, transformation-focused projects.

Leistungen / Benefits
  • Work from Home up to 20 days/year in EU
  • Personal development trainings
  • Redcare events and team-building
  • Corporate pension plan
  • Mental Health support via nilo (anonymous)
Verantwortungsbereiche
  • Lead the design and development of scalable data models with DBT, SQL and Databricks to support multiple business domains
  • Collaborate with Product Managers and stakeholders to translate requirements into robust technical solutions and manage backlog
  • Develop impactful Power BI dashboards and semantic models for intuitive reporting
  • Contribute to the cloud migration programme to modernise the analytics platform and improve performance
  • Promote best practices in analytics and AI, mentor colleagues, and support training initiatives
  • Help evolve solutions like the internal AI-powered "Talk to Data" capability
Zentrale Anforderungen
  • 5+ years of experience in data-focused roles with SQL, DBT, Databricks, and Power BI in enterprise environments
  • Bachelor's degree (or higher) in a related quantitative field
  • Strong ability to communicate with both technical and non-technical stakeholders
  • Experience mentoring junior colleagues and driving technical excellence
  • Experience with Microsoft Fabric, Azure, Python, A/B testing, or cloud migration is advantageous
  • stakeholder communication
  • mentoring and coaching
  • cross-functional collaboration
  • SQL
  • DBT
  • Databricks
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Stelleninformationen

  • Veröffentlichungsdatum:

    17 Sep 2026
  • Standort:

    Köln

    Einsatzort:

    Deutschland
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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