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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- AWS
- Redshift
- S3
- IAM
- Git
- Tableau
- Python
- Spark
- PySpark
- Airflow
- Databricks
- Lakehouse architecture
- Kafka
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Not a perfect match?
- Seven SendersFull-timeWith HomeofficeSeniorBerlin
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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- AWS
- Redshift
- S3
- IAM
- Git
- Tableau
- Python
- Spark
- PySpark
- Airflow
- Databricks
- Lakehouse architecture
- Kafka
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
About the Company
Zalando Stores Experiences & Clearance Solutions GmbH & Co. KG
Industry
Retail
Description
Das Unternehmen ist eine Online-Plattform für Mode und Lifestyle und betreibt Outlet Stores in ganz Deutschland.
Not a perfect match?
- Seven Senders
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Full-timeWith HomeofficeSeniorBerlin - Enpal B.V.
Senior Business Intelligence Developer - Finance(m/w/x)
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Senior Data Analyst - Recommendation(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin