Hiring.Camp

Lead / Senior Retail Data Analyst (m/w/d)

Cheil Germany Gmbh

·

Jun 19, 2026

Location
Eschborn, Hessen
Workplace
Remote, Hybrid
Department
Retail
Seniority
Senior
Experience
5+ years
Source
Personio

Description

Über uns


Deine Aufgaben

  • 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.


Dein Profil

  • Minimum 5+ years of experience in data analytics, business intelligence, or a related field.
  • Proven experience mentoring or leading analytics teams.
  • Comfortable working in dynamic, fast-changing environments with evolving business needs.
  • 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.
  • 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 analytical and problem-solving mindset; experience in the Retail or Agency sector is a plus.
  • Strong proficiency in English (written and spoken) is required; fluency in German is a plus.


Was wir anbieten

Freizeit & Flexibilität

  • 30 Tage Urlaub – plus: Heiligabend und Silvester sind automatisch frei.
  • Hybrid Work: Du kombinierst Office und Remote Work ganz flexibel.
  • Gleitzeit-Modell: Arbeite in deinem Rhythmus – zwischen 7:30 Uhr und 19:30 Uhr.

Weiterbildung & finanzielle Vorteile

  • LinkedIn Learning-Zugang: Wähle aus Tausenden Kursen und entwickle dich stetig weiter.
  • Corporate Benefits ab dem ersten Tag – sichere dir exklusive Mitarbeiterrabatte.
  • Betriebliche Altersvorsorge: Wir unterstützen dich mit einer attraktiven Direktversicherung.
  • Mitarbeiter werben Mitarbeiter: Empfehle uns weiter und erhalte eine attraktive Prämie.

Gesundheit & Wohlbefinden

  • FITSEVENELEVEN-Vorteile* – bleib fit mit Rabatten in ausgewählten Fitnessclubs.
  • Mentale Gesundheit im Fokus: Unser EAP steht dir und deinen Angehörigen zur Seite.
  • Gesund im Job: Betriebsärztliche Betreuung inkl. Sehtest, Grippeimpfung und Brillenzuschuss.
  • Sabbatical: Nach 2 Jahren Betriebszugehörigkeit kannst du dir eine wohlverdiente Auszeit nehmen.

Miteinander & Arbeitsumfeld

  • Leckeres Essen, bezuschusst: In der SAMSUNG-Kantine oder am Foodji*-Automaten.
  • Let’s celebrate! Von Company Breakfast bis zur Weihnachtsfeier – wir feiern Erfolge gemeinsam.
  • Hundefreundliches Büro: Bring deinen Vierbeiner mit – wir freuen uns auf ihn!

*Hinweis: Gilt für unseren Standort in Eschborn.

Skills

PythonAWSSQLSnowflakeData EngineeringETLExcelTableau

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