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Senior Data Analytics Consultant (GCP)(m/w/x)
Building scalable analytical models with BigQuery for AI-first strategies in manufacturing and retail. GCP and client-facing experience required. 20% R&D time, flexible hours, remote work.
Requirements
- Consulting background in IT or Management
- Client-facing role experience
- Navigating shifting priorities
- Google Cloud Platform (GCP) expertise
- BigQuery expertise
- Gemini Enterprise integration for AI analytics
- Bridge between operations and engineering
- Stakeholder interviewing for workflow deconstruction
- Codifying workflows into business logic and data models
- Expert-level SQL skills
- Cloud Data Warehouse mechanics understanding
- Data warehouse partitioning, clustering, optimization
- Understanding of Marketing KPIs and logic
- Understanding of Sales KPIs and logic
- Understanding of Logistics KPIs and logic
- Understanding of Manufacturing KPIs and logic
- Looker Studio mastery
- Power BI mastery
- Tableau mastery
- Creating intuitive, actionable dashboards
- Excellent written and spoken English
- SAP Datasphere familiarity
- SAP S/4HANA familiarity
- SAP BW familiarity
- Data Modeling hands-on experience
- Foundational Data Engineering experience
- Intentional AI integration in development or analysis
Tasks
- Dive into complex datasets using BigQuery
- Build high-performance, scalable analytical models
- Ensure seamless data flow between legacy and cloud systems
- Maintain business-ready data schemas
- Craft high-impact narratives with Google Workspace
- Persuade stakeholders with data-driven insights
- Partner with Data Engineers and Architects
- Optimize end-to-end data pipelines for cost-efficiency
- Ensure query speed in data pipelines
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Google Cloud Platform (GCP)
- BigQuery
- Gemini Enterprise
- SQL
- Looker Studio
- Power BI
- Tableau
- SAP Datasphere
- SAP S/4HANA
- SAP BW
Benefits
Other Benefits
- 20% of working time for experimenting and education
Flexible Working
- Absolutely flexible working hours
- Remote work from any location
Bonuses & Incentives
- Various bonus models
Learning & Development
- Constant training and development
- Individual certification and training plan
Modern Equipment
- Access to cutting-edge AI technologies
Childcare
- Financial support for childcare
Free or Subsidized Food
- Free Friday lunch
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Senior Data Analytics Consultant (GCP)(m/w/x)
Building scalable analytical models with BigQuery for AI-first strategies in manufacturing and retail. GCP and client-facing experience required. 20% R&D time, flexible hours, remote work.
Requirements
- Consulting background in IT or Management
- Client-facing role experience
- Navigating shifting priorities
- Google Cloud Platform (GCP) expertise
- BigQuery expertise
- Gemini Enterprise integration for AI analytics
- Bridge between operations and engineering
- Stakeholder interviewing for workflow deconstruction
- Codifying workflows into business logic and data models
- Expert-level SQL skills
- Cloud Data Warehouse mechanics understanding
- Data warehouse partitioning, clustering, optimization
- Understanding of Marketing KPIs and logic
- Understanding of Sales KPIs and logic
- Understanding of Logistics KPIs and logic
- Understanding of Manufacturing KPIs and logic
- Looker Studio mastery
- Power BI mastery
- Tableau mastery
- Creating intuitive, actionable dashboards
- Excellent written and spoken English
- SAP Datasphere familiarity
- SAP S/4HANA familiarity
- SAP BW familiarity
- Data Modeling hands-on experience
- Foundational Data Engineering experience
- Intentional AI integration in development or analysis
Tasks
- Dive into complex datasets using BigQuery
- Build high-performance, scalable analytical models
- Ensure seamless data flow between legacy and cloud systems
- Maintain business-ready data schemas
- Craft high-impact narratives with Google Workspace
- Persuade stakeholders with data-driven insights
- Partner with Data Engineers and Architects
- Optimize end-to-end data pipelines for cost-efficiency
- Ensure query speed in data pipelines
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Google Cloud Platform (GCP)
- BigQuery
- Gemini Enterprise
- SQL
- Looker Studio
- Power BI
- Tableau
- SAP Datasphere
- SAP S/4HANA
- SAP BW
Benefits
Other Benefits
- 20% of working time for experimenting and education
Flexible Working
- Absolutely flexible working hours
- Remote work from any location
Bonuses & Incentives
- Various bonus models
Learning & Development
- Constant training and development
- Individual certification and training plan
Modern Equipment
- Access to cutting-edge AI technologies
Childcare
- Financial support for childcare
Free or Subsidized Food
- Free Friday lunch
About the Company
Zoi
Industry
IT
Description
Das Unternehmen gestaltet die digitale Evolution seiner Unternehmenskunden und bringt die Cloud in die Retail- und Manufacturing-Industrie.
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