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Senior Data Analyst

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Job

  • Level
    Senior
  • Job Feld
    Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    München
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Rolle entwickelst du skalierbare Datamarts mit SQL und Python, erstellst effektive Dashboards in Tableau und Power BI und übersetzt komplexe Daten in handlungsrelevante Insights für Entscheidungsträger.

    Job Technologien

    Deine Rolle im Team

    • We are looking for a Senior Data Analyst with a strong analytics and data science foundation to drive high-impact, data-driven decisions across the business.
    • In this role, you will go beyond descriptive reporting, shaping analytical solutions, developing scalable datamarts, and translating complex data into clear, actionable insights for senior stakeholders.
    • You will work at the intersection of analytics engineering, business intelligence, and applied data science, collaborating closely with business teams to influence strategic and operational outcomes.
    • Design, develop, and own analytical datamarts using SQL and Python, ensuring scalability, performance, and analytical robustness.
    • Build and maintain high-impact Tableau and Power BI dashboards that track KPIs and support executive and operational decision-making.
    • Apply advanced analytical techniques to identify trends, patterns, anomalies, and optimization opportunities across all business domains.
    • Translate ambiguous business questions into structured analytical approaches, hypotheses, and measurable outcomes.
    • Partner closely with business stakeholders to define success metrics, frame analytical questions, and deliver insights that drive action.
    • Use data visualization and storytelling techniques to communicate insights clearly to both technical and non-technical audiences.
    • Identify opportunities to improve dashboard performance, data models, and reporting landscape consolidation.
    • Maintain reporting schedules and data extracts where required, ensuring data reliability and consistency.
    • Provide 1st-level support, while proactively improving self-service analytics capabilities.
    • Stay up to date with modern BI, analytics, and data science best practices, continuously raising the analytical maturity of the team.

    Unsere Erwartungen an dich

    Ausbildung

    • Bachelor's degree in Computer Science, Data Science, Business Analytics, Statistics, or a related field (Master's degree preferred).

    Qualifikationen

    • Strong expertise in SQL and data modeling, with a focus on analytical quality and performance.
    • Solid understanding of analytical concepts such as KPI design, experimentation, trend analysis, and data validation.
    • Ability to think analytically and strategically, balancing business context with technical depth.
    • Excellent written and verbal communication skills in English, with the confidence to present insights to senior stakeholders.

    Erfahrung

    • Several years of experience as a Data Scientist, Data Analyst, Senior Analyst, or Analytics Engineer in a complex data environment.
    • Advanced experience with Tableau Desktop; solid Power BI knowledge is a plus.
    • Python experience for data analysis, automation, or advanced analytics is highly desirable.
    • Hands-on experience working with enterprise data platforms (e.g. AWS Athena, SAP BW, Oracle, or comparable technologies).

    Unser Angebot

    • Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you'll be at the heart of an incredible, multinational team.
    • We trust each other to get the job done, which means you'll benefit from hybrid working, spending 60% of your time in the office and 40% at home.
    • There's an option to work for 20 days abroad in approved countries too.

    Benefits

    Essen & Trinken

    Work-Life-Integration

    Mehr Netto

    Gesundheit, Fitness & Fun

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort München

      Bayern

      Deutschland

    Das ist dein Arbeitgeber

    zooplus AG

    zooplus AG

    Wien

    Die Zooplus AG hat ihren Sitz in München und ist Betreiber einer Internet-Handelsplattform für Haustierbedarf. Neben dem Online-Shop bietet die Firma auch einen Online-Informationsdienst rund um das Thema Haustier sowie eine Community an.

    Description

  • Sprachen
    Englisch
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Full Remote, Hybrid, Onsite
  • Branche
    Werbung, Marketing, PR, Handel, Internet, IT, Telekom
  • Dev Reviews

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    Gesamt

    (1 Bewertung)
    3.7
    • Career Growth

      3.2
    • Culture

      4.3
    • Workingconditions

      4.4
    • Engineering

      3.2
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    Logo zooplus AG

    Senior Data Analyst

    Ort
    München
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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