HeyJobs
Team Lead Product Analytics(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin, Köln
ab 70.000 - 90.000 / Jahr
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
GOGoodHabitz
Product Data Lead(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Designing product event taxonomy and naming conventions for a data platform. End-to-end product data system building experience required. Role-specific performance bonus, 25 days holiday.
Anforderungen
- End-to-end product data system building
- Hands-on individual contributor (SQL, modeling, dashboarding)
- Owning/leading tracking plan, event taxonomy, naming conventions
- Translating ambiguous questions to measurement definitions
- Improving data trust via quality practices, monitoring, documentation
- Working with B2B SaaS product teams
- Working across Product, Engineering, Revenue/CS stakeholders
- Systems thinking (instrumentation, identity, modeling tradeoffs)
- Outcome orientation (observable decision-making change)
- Pragmatic execution (quick v1, iterative quality)
- Clear communication to non-technical stakeholders
- Stakeholder leadership (aligning teams, navigating debates)
- High standards for data integrity
Aufgaben
- Design product event taxonomy and naming conventions
- Drive adoption of event taxonomy across teams
- Partner with engineering for tracking plan implementation
- Maintain tracking plan with clear ownership and change management
- Establish instrumentation quality monitoring
- Create comprehensive event documentation
- Build activation funnel for product reviews
- Develop retention tracking for key cohorts
- Translate product questions into robust analysis patterns
- Teach teams self-service analysis techniques
- Implement regular product metrics reviews
- Produce clear measurement narrative for leadership
- Identify and address data integrity risks
- Clarify roles between product data, analytics, and domain teams
- Define requirements for critical identifiers
- Align stakeholders on scope and sequencing
- Design critical identity plumbing for product analysis
- Balance speed and rigor in model and dashboard development
- Iterate on v1 models and dashboards as system matures
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
Benefits
Boni & Prämien
- Role-specific performance bonus
Sonstige Zulagen
- Travel budget
Flexibles Arbeiten
- Flexible work
Moderne Technikausstattung
- Laptop
Sonstige Vorteile
- Unlimited access to GoodHabitz resources
- Disability coverage
Weiterbildungsangebote
- Access to MyAcademy
Mentale Gesundheitsförderung
- Mental coaching
Lockere Unternehmenskultur
- Diverse and inclusive teams
Team Events & Ausflüge
- Themed events and team-building
Gemeinnützige Ausrichtung
- Annual Do-Good Day
Betriebliche Altersvorsorge
- Pension coverage
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens GoodHabitz 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.
Noch nicht perfekt?
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GOGoodHabitz
Product Data Lead(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Designing product event taxonomy and naming conventions for a data platform. End-to-end product data system building experience required. Role-specific performance bonus, 25 days holiday.
Anforderungen
- End-to-end product data system building
- Hands-on individual contributor (SQL, modeling, dashboarding)
- Owning/leading tracking plan, event taxonomy, naming conventions
- Translating ambiguous questions to measurement definitions
- Improving data trust via quality practices, monitoring, documentation
- Working with B2B SaaS product teams
- Working across Product, Engineering, Revenue/CS stakeholders
- Systems thinking (instrumentation, identity, modeling tradeoffs)
- Outcome orientation (observable decision-making change)
- Pragmatic execution (quick v1, iterative quality)
- Clear communication to non-technical stakeholders
- Stakeholder leadership (aligning teams, navigating debates)
- High standards for data integrity
Aufgaben
- Design product event taxonomy and naming conventions
- Drive adoption of event taxonomy across teams
- Partner with engineering for tracking plan implementation
- Maintain tracking plan with clear ownership and change management
- Establish instrumentation quality monitoring
- Create comprehensive event documentation
- Build activation funnel for product reviews
- Develop retention tracking for key cohorts
- Translate product questions into robust analysis patterns
- Teach teams self-service analysis techniques
- Implement regular product metrics reviews
- Produce clear measurement narrative for leadership
- Identify and address data integrity risks
- Clarify roles between product data, analytics, and domain teams
- Define requirements for critical identifiers
- Align stakeholders on scope and sequencing
- Design critical identity plumbing for product analysis
- Balance speed and rigor in model and dashboard development
- Iterate on v1 models and dashboards as system matures
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
Benefits
Boni & Prämien
- Role-specific performance bonus
Sonstige Zulagen
- Travel budget
Flexibles Arbeiten
- Flexible work
Moderne Technikausstattung
- Laptop
Sonstige Vorteile
- Unlimited access to GoodHabitz resources
- Disability coverage
Weiterbildungsangebote
- Access to MyAcademy
Mentale Gesundheitsförderung
- Mental coaching
Lockere Unternehmenskultur
- Diverse and inclusive teams
Team Events & Ausflüge
- Themed events and team-building
Gemeinnützige Ausrichtung
- Annual Do-Good Day
Betriebliche Altersvorsorge
- Pension coverage
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens GoodHabitz 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.
Über das Unternehmen
GoodHabitz
Branche
IT
Beschreibung
Das Unternehmen ist Teil eines lebendigen und dynamischen Teams, das die Welt des Lernens revolutioniert.
Noch nicht perfekt?
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