Dein persönlicher KI-Karriere-Agent
Team Lead Product Analytics(m/w/x)
Leading product analysts in A/B testing and user behavior pattern discovery for an online fashion shopping club. At least 2 years of team leadership experience required. 27 days holiday, 2 paid volunteering days, and up to 60% remote work.
Anforderungen
- At least 2 years leading cross-functional or analytical teams
- Mentoring peers and setting strategic direction
- Experience in data or product-driven environment
- 5+ years relevant working experience in data-intensive analytics role
- Experience working with raw data
- Experience in Digital Analytics, Product Analytics, or Business Intelligence
- Preference for e-commerce experience
- Strong knowledge of e-commerce KPIs
- Knowledge of KPI definition and measurement across customer journey
- Strong knowledge of analytics software languages
- Strong knowledge of statistical software languages
- Preferably Python
- Strong knowledge of A/B testing best practices
- Comfortable working with onsite user behaviour data
- Defining tracking specifications for user actions
- Generating insights via advanced analytic models
- Comfortable building repeatable reporting pipelines
- Comfortable maintaining repeatable reporting pipelines
- Strong communication skills
- Strong data storytelling skills
- Ability to explain processes, choices, and insights to stakeholders
Aufgaben
- Lead product analysts in A/B testing and data analysis
- Support user research and advance data analytics
- Collaborate with cross-functional teams including Product Managers, User Researchers, Designers, Engineers, and Data Scientists
- Translate complex data into actionable insights
- Design and implement data analyses to uncover user behavior patterns
- Combine quantitative data with qualitative user research
- Work with product, engineering, and data science teams to improve the product
- Guide the design, execution, and interpretation of A/B tests
- Develop and evaluate causal inference models
- Pilot GenAI tools for automating insights and summarizing feedback
- Lead analytical onboarding and mentorship
- Foster data fluency and strategic decision-making
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Tableau
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote work
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Zalando product discount
- Lounge by Zalando discount
- External partner discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Wellhub membership
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
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Team Lead Product Analytics(m/w/x)
Leading product analysts in A/B testing and user behavior pattern discovery for an online fashion shopping club. At least 2 years of team leadership experience required. 27 days holiday, 2 paid volunteering days, and up to 60% remote work.
Anforderungen
- At least 2 years leading cross-functional or analytical teams
- Mentoring peers and setting strategic direction
- Experience in data or product-driven environment
- 5+ years relevant working experience in data-intensive analytics role
- Experience working with raw data
- Experience in Digital Analytics, Product Analytics, or Business Intelligence
- Preference for e-commerce experience
- Strong knowledge of e-commerce KPIs
- Knowledge of KPI definition and measurement across customer journey
- Strong knowledge of analytics software languages
- Strong knowledge of statistical software languages
- Preferably Python
- Strong knowledge of A/B testing best practices
- Comfortable working with onsite user behaviour data
- Defining tracking specifications for user actions
- Generating insights via advanced analytic models
- Comfortable building repeatable reporting pipelines
- Comfortable maintaining repeatable reporting pipelines
- Strong communication skills
- Strong data storytelling skills
- Ability to explain processes, choices, and insights to stakeholders
Aufgaben
- Lead product analysts in A/B testing and data analysis
- Support user research and advance data analytics
- Collaborate with cross-functional teams including Product Managers, User Researchers, Designers, Engineers, and Data Scientists
- Translate complex data into actionable insights
- Design and implement data analyses to uncover user behavior patterns
- Combine quantitative data with qualitative user research
- Work with product, engineering, and data science teams to improve the product
- Guide the design, execution, and interpretation of A/B tests
- Develop and evaluate causal inference models
- Pilot GenAI tools for automating insights and summarizing feedback
- Lead analytical onboarding and mentorship
- Foster data fluency and strategic decision-making
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Tableau
Benefits
Mehr Urlaubstage
- 27 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote work
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Zalando product discount
- Lounge by Zalando discount
- External partner discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Wellhub membership
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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