Dein persönlicher KI-Karriere-Agent
Senior Business Intelligence Analyst - Retail(m/w/x)
Leading data discovery and KPI definition for fashion e-commerce, integrating with AWS. Proven experience designing data models for large business units required. 27-30 days holiday, up to 60% remote.
Anforderungen
- Domain and agile expertise
- Proven experience designing/reshaping data models for large business units
- Retail, outlets, or overstock experience (strong plus)
- Autonomous project driving across multiple stakeholders
- Agile environment experience
- Advanced SQL skills
- Optimizing complex queries for performance and cost
- Deep understanding of BI data modeling
- Significant hands-on AWS Ecosystem experience
- Redshift, S3, and IAM roles experience
- Git for CI/CD workflows experience
- Extensive Tableau expertise
- Tableau data source and field management
- Tableau dashboard building expertise
- Analytical mindset
- Strong statistical literacy
- Highly data-driven approach to problem-solving
- Effective stakeholder communication
- Proficiency in Python (Spark/PySpark) (plus)
- Proficiency in orchestration tools like Airflow (plus)
- Solid understanding of Databricks (plus)
- Solid understanding of Lakehouse architecture (plus)
- Understanding of underlying storage formats (plus)
- Understanding of trade-offs between real-time streaming and batch processing (plus)
- Kafka knowledge (plus)
Aufgaben
- Lead data discovery
- Define KPIs
- Manage data loading into Tableau
- Translate business needs into data models
- Integrate with AWS ecosystem
- Optimize queries for speed and cost
- Collaborate with Data Team
- Maintain CI/CD workflows
- Ensure consistent logical structure
- Implement data governance model
- Refine data quality standards
- Guarantee reliable data access
- Define data points and user groups
- Establish data preservation processes
- Advise Controllers and business users
- Support ad-hoc analysis
- Build data products for immediate value
- Enable agile decision-making
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- AWS
- Redshift
- S3
- IAM
- Git
- Tableau
- Python
- Spark
- PySpark
- Airflow
- Databricks
- Lakehouse architecture
- Kafka
Benefits
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
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Senior Business Intelligence Analyst - Retail(m/w/x)
Leading data discovery and KPI definition for fashion e-commerce, integrating with AWS. Proven experience designing data models for large business units required. 27-30 days holiday, up to 60% remote.
Anforderungen
- Domain and agile expertise
- Proven experience designing/reshaping data models for large business units
- Retail, outlets, or overstock experience (strong plus)
- Autonomous project driving across multiple stakeholders
- Agile environment experience
- Advanced SQL skills
- Optimizing complex queries for performance and cost
- Deep understanding of BI data modeling
- Significant hands-on AWS Ecosystem experience
- Redshift, S3, and IAM roles experience
- Git for CI/CD workflows experience
- Extensive Tableau expertise
- Tableau data source and field management
- Tableau dashboard building expertise
- Analytical mindset
- Strong statistical literacy
- Highly data-driven approach to problem-solving
- Effective stakeholder communication
- Proficiency in Python (Spark/PySpark) (plus)
- Proficiency in orchestration tools like Airflow (plus)
- Solid understanding of Databricks (plus)
- Solid understanding of Lakehouse architecture (plus)
- Understanding of underlying storage formats (plus)
- Understanding of trade-offs between real-time streaming and batch processing (plus)
- Kafka knowledge (plus)
Aufgaben
- Lead data discovery
- Define KPIs
- Manage data loading into Tableau
- Translate business needs into data models
- Integrate with AWS ecosystem
- Optimize queries for speed and cost
- Collaborate with Data Team
- Maintain CI/CD workflows
- Ensure consistent logical structure
- Implement data governance model
- Refine data quality standards
- Guarantee reliable data access
- Define data points and user groups
- Establish data preservation processes
- Advise Controllers and business users
- Support ad-hoc analysis
- Build data products for immediate value
- Enable agile decision-making
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- AWS
- Redshift
- S3
- IAM
- Git
- Tableau
- Python
- Spark
- PySpark
- Airflow
- Databricks
- Lakehouse architecture
- Kafka
Benefits
Mehr Urlaubstage
- 27-30 days of holiday
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Sonstige Zulagen
- Work from abroad allowance
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- Employee discounts
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Zalando Stores Experiences & Clearance Solutions GmbH & Co. KG
Branche
Retail
Beschreibung
Das Unternehmen ist eine Online-Plattform für Mode und Lifestyle und betreibt Outlet Stores in ganz Deutschland.
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