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QUQuince

Data Analyst, Marketing(m/w/x)

Berlin
ab 90.000 - 150.000 / Jahr
Vollzeitmit HomeofficeSenior
Nejo KI-Zusammenfassung

Developing automated marketing KPI reports for US e-commerce operations. 7+ years in data analytics, SQL proficiency, and e-commerce supply chain focus required. Bonus and equity potential.

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Anforderungen

  • Bachelor’s degree in quantitative field
  • Master’s degree is a plus
  • 7+ years in data analytics/product analytics
  • Supply chain focus in e-commerce/tech
  • Proficiency in SQL
  • Proficiency in data visualization tools
  • Knowledge of statistical analysis
  • Knowledge of A/B testing
  • Familiarity with Python or R is a plus
  • Ability to interpret complex data
  • Translate data into actionable insights
  • Focus on detail, accuracy, and clarity
  • Excellent verbal communication skills
  • Excellent written communication skills
  • Present data insights effectively
  • Present recommendations effectively
  • Manage multiple projects
  • Prioritize in fast-paced environment
  • Experience running Geo-lift tests
  • Previous e-commerce / multi-category experience
  • Strong Performance marketing background
  • Strong CRM measurement background
  • Translate analysis into action via storytelling
  • Translate analysis into action via visualization
  • Understanding of core marketing metrics
  • Understanding of LTV/CAC, ROAS, MER

Aufgaben

  • Partner with the US team to understand existing assets and identify gaps
  • Develop and maintain automated reports to track Marketing KPIs
  • Track New/Returning Customers, LTV/CAC, Total vs. inc. ROAS
  • Track Performance Marketing Channel KPIs (Paid Social, SEM, App, Affiliates)
  • Track CRM KPIs (Customer cohort, Database health, Lifecycle stages)
  • Conduct ad-hoc analyses to identify channel inefficiencies
  • Identify scaling opportunities
  • Identify areas for improving MER / Total ROAS
  • Partner with Product, Engineering, and Performance teams to deliver experimentation studies
  • Partner with Product, Engineering, and Performance teams to deliver incrementality studies
  • Deliver Geo-Lift tests, Channel Incrementality, Brand lift, and MMM validation
  • Partner with Product, Engineering, and CRM to deliver a data-driven customer lifecycle program
  • Identify key drivers of high-value customers
  • Partner with Product, Engineering, and CRM to deliver A/B and multivariate tests
  • Optimize revenue per visit through lifecycle touchpoint tests
  • Optimize Incremental LTV / Revenue through lifecycle touchpoint tests
  • Partner with Product, Engineering, and CRM to deliver a multi-category approach to cross-selling
  • Identify triggers for cross-selling
  • Identify next best actions based on customer behavior
  • Implement data quality best practices in collaboration with the US
  • Implement data governance (inc. GDPR) best practices in collaboration with the US
  • Implement AI usage best practices in collaboration with the US
  • Be an integral part of the international team
  • Contribute to the international team's growth

Berufserfahrung

7 Jahre

Ausbildung

Bachelor-AbschlussODER
Master-Abschluss

Sprachen

Englischverhandlungssicher

Tools & Technologien

SQLTableauLookerPower BIMixpanelPythonR

Benefits

Boni & Prämien
  • Bonus may be provided
Attraktive Vergütung
  • Equity may be provided
Sonstige Vorteile
  • Equal employment opportunities
  • Reasonable accommodations for qualified individuals with disabilities

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens Quince erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

Zur Originalanzeige bei Quince

Über das Unternehmen

QU
RetailBerlin

Quince is a tech company disrupting the retail industry by providing high quality essentials at low prices through a direct-to-consumer model.

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