Logo Cheil Germany Gmbh

Lead / Senior Retail Data Analyst

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Job

  • Level
    Lead
  • Job Feld
    BI
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Eschborn
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In dieser Rolle entwickelst du analytische Lösungen, designst Dashboards und führst komplexe Datenanalysen durch, um strategische Entscheidungen im Einzelhandel zu unterstützen und KPIs zu optimieren.

    Job Technologien

    Deine Rolle im Team

    • Translate complex business challenges into clear analytical solutions, KPIs, and measurable frameworks that support company objectives.
    • Drive and influence strategic decision-making by delivering clear, data-driven insights and compelling data storytelling to non-technical stakeholders.
    • Advise the business on data analysis opportunities, define and optimize key business KPIs, and support data-driven decision-making.
    • Align analytical requirements with corporate goals and data management best practices, while considering technical constraints.
    • Design and maintain scalable dashboards, reporting systems, and BI solutions in a fast-paced retail and field-force environment.
    • Lead end-to-end analytics workflows, including data extraction, ETL processes, data validation, and advanced data modeling.
    • Collaborate closely with Data Engineers to develop and optimize reliable and scalable data pipelines and data warehouse structures.
    • Define best practices for analytics, reporting, visualization, and data quality assurance to ensure accuracy and consistency across all outputs.
    • Mentor and support junior analysts through coaching, knowledge sharing, and structured skill development.
    • Review analytical work to ensure accuracy, consistency, and quality.
    • Contribute to team growth by participating in hiring processes, interviews, and onboarding of new team members.

    Unsere Erwartungen an dich

    Qualifikationen

    • Comfortable working in dynamic, fast-changing environments with evolving business needs.
    • Solid understanding of data engineering fundamentals, including data modeling, data warehousing, and data governance principles.
    • Excellent communication and storytelling skills, with the ability to bridge technical and business perspectives.
    • Familiarity with cloud platforms such as AWS is a strong plus.
    • Strong proficiency in English (written and spoken) is required; fluency in German is a plus.

    Erfahrung

    • Minimum 5+ years of experience in data analytics, business intelligence, or a related field.
    • Proven experience mentoring or leading analytics teams.
    • Experience building and maintaining BI dashboards, such as Tableau dashboards or Excel reports.
    • Strong proficiency in SQL and hands-on experience with Python and Snowflake for data analysis, automation, and ETL workflows.
    • Strong analytical and problem-solving mindset; experience in the Retail or Agency sector is a plus.

    Unser Angebot

    • Referral program
    • Professional development assistance
    • Employee discount
    • Employee assistance program
    • Pension plan

    Benefits

    Work-Life-Integration

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Eschborn

      65760 Hessen

      Deutschland

    Das ist dein Arbeitgeber

    Cheil Germany Gmbh

    Cheil Germany Gmbh

    Cheil Germany GmbH ist Teil von Cheil Worldwide, einem der international führenden Kommunikationskonzerne mit über 6.000 Mitarbeitern und 48 Büros in 41 Ländern. Als Kommunikationsprofis fürs Digitale und alles andere auch haben wir inzwischen rund 250 Mitarbeiter in Frankfurt und Düsseldorf von uns überzeugt und gemeinsam Platz 2 im Ranking der kreativsten Digitalagenturen erobert.

    Description

  • Unternehmensgröße
    1-49 Employees
  • Unternehmenstyp
    Digitale Agentur
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Werbung, Marketing, PR
  • Logo Cheil Germany Gmbh

    Lead / Senior Retail Data Analyst

    Ort
    Eschborn
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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