Analytics Engineer, E-Commerce
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Job Description
Analytics Engineer shaping the future of E-Commerce for fashion brands OPUS and someday. Collaborating with CRM, merchandise, and management to drive data-based recommendations.
Responsibilities:
- Du erstellst datenbasierte Entscheidungsgrundlagen für das E-Commerce, sowohl im Tagesgeschäft als auch im Rahmen unserer OKRs
- Du identifizierst eigenständig Wachstumsfelder im E-Commerce
- Du legst dabei einen besonderen Fokus auf Fragestellungen zum Verhalten unserer Kundinnen im Onlineshop
- Du entwickelst auf Basis einer etablierten zentralen Data Plattform spezielle Datenmodelle für die E-Commerce-Domäne und stellst sie für ad-hoc-Analysen oder Standard-Reportings bereit
- Deine interaktiven Dashboards machen strategische und operative Zusammenhänge auf einen Blick sichtbar und schaffen Transparenz auf allen Ebenen
- Du verantwortest die Qualität deiner Datenpipelines und entwickelst eigenständig Tests zur Sicherstellung von Aktualität und Korrektheit
- Im Data-Team bist du die zentrale Ansprechperson für das E-Commerce-Team
Requirements:
- Erfolgreich abgeschlossenes Studium in Mathematik, (Wirtschafts-)Informatik, MINT-Studiengang oder eine vergleichbare Ausbildung / Weiterbildung
- Mindestens 2 Jahre Berufserfahrung in einer vergleichbaren Position sowie tiefgehendes Verständnis für E-Commerce im D2C
- Sehr gutes analytisches Denkvermögen sowie eine strukturierte, lösungsorientierte Arbeitsweise
- Fundierte SQL-Kenntnisse sowie Erfahrung im Umgang mit Cloud Data Warehouses (z. B. Snowflake)
- Erfahrung bei der Transformation von Daten in Data Warehouses, z.B. dbt oder Airflow
- Kenntnisse in der Datenmodellierung (z. B. Star Schema, Snowflake Schema) sowie im Aufbau strukturierter Datenprodukte
- Erfahrung mit CRM, Online Analytic Tools (z.B. Bloomreach , GA4) sowie Dashboarding- und BI-Tools, z. B. Looker oder Power BI
- Sicherer Umgang mit Versionierungstools (Git) sowie agilen Tools wie Jira und Confluence
- Fließende Deutschkenntnisse sowie sehr gute Englischkenntnisse
Benefits:
- Nutze regelmäßige Hackathons und eine Dev Academy für deine persönliche Weiterentwicklung
- Freu‘ dich auf ein abwechslungsreiches Arbeitsumfeld mit Gestaltungsspielraum, agilem Arbeiten und klar definierten Zielen (OKR)
- Deine State-of-the-art-Devices zum Arbeiten nutzt du einfach auch privat
- Arbeite zeitgemäß und hybrid oder vollständig remote und mit 30 Urlaubstagen im Jahr
- Sportbonus, JobRad, Personalrabatte, Events und andere Benefits gibt’s für dich on top
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