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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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