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Director of Data (BI & Analytics)(m/w/x)
Building AI-assisted predictive insights and data pipelines for a global supply chain platform. Ownership of client data models and metrics required. Performance-based incentives and rapid learning opportunities.
Requirements
- Ownership of client data models, pipelines, metrics
- Development of AI-assisted predictive systems
- Partnership with Growth, Operations, Product teams
- Turning data into competitive advantage
- Running daily dashboards, forecasts, decisions
- Ownership of data warehouse, models, BI stack
- Ensuring single-source-of-truth visibility
- Translating signal into action with Sales/Ops leadership
- Quota pacing, margin tracking, reactivation triggers
- Fulfillment risk management
- Collaboration with Tech for AI-assisted workflows
- Deployment of GPT-based or agentic assistants
- AI for forecasting, pricing, anomaly detection
- Moving from descriptive to predictive reporting
- Automation of recurring reports
- Powering daily management decisions with data
- Definition, implementation, tracking of core KPIs
- KPI tracking for GMV, NRM, automation, order quality
- Coaching a small team of analysts
- Hiring, mentoring, scaling data team
- Output-driven data team with speed and accuracy
- Integration of Data into business heartbeat
- Dashboard provision for Sales, Ops, Finance, Procurement, Product
- Guaranteeing data quality
- Clean pipelines, consistent definitions, zero ambiguity
- 100% alignment on KPI definitions across departments
- Automated, self-updating dashboards for every business function
- Forecast accuracy >95%
- Live margin reporting by GMV, margin, and region
- Live AI-assisted data copilot in Sales/Ops within 3 months
- Significant reduction in manual reporting (≥50% automation)
- Clean, documented, production-grade data stack
- Weekly exec dashboards replacing static reports
Tasks
- Lead and develop data functions
- Own data models, pipelines, and metrics
- Develop AI-assisted systems for predictive insights
- Partner with Growth, Operations, and Product
- Run daily dashboards, forecasts, and decisions
- Build and maintain the data warehouse and BI stack
- Operationalize insights for Sales and Operations
- Collaborate with Tech for AI workflows
- Elevate reporting to predictive analytics
- Automate recurring reports
- Define and track core KPIs
- Coach and scale a data team
- Integrate Data into business functions
- Guarantee data quality and consistency
- Ensure 100% KPI alignment across departments
- Create automated, self-updating dashboards
- Achieve 95%+ forecast accuracy
- Provide live margin reporting
- Embed AI-assisted data copilot in workflows
- Reduce manual reporting by 50%
- Maintain a clean, documented data stack
- Replace static slide reports with weekly exec dashboards
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- GPT
Benefits
Bonuses & Incentives
- Performance-based incentives
- Performance-based bonus program
Competitive Pay
- Attractive base salary
Learning & Development
- Rapid learning opportunities
Diverse Work
- Cross-functional exposure
Career Advancement
- Early leadership potential
Modern Office
- Modern Berlin office
Team Events
- Monthly All-Hands
- Team events
- Regular offsites
Not a perfect match?
- CoreTylyntFull-timeOn-siteNot specifiedBerlin
- A11
Senior Operations Analyst(m/w/x)
Full-timeOn-siteSeniorBerlin - CoreTylynt
Senior Product Manager - Supply Chain & Logistics(m/w/x)
Full-timeOn-siteSeniorBerlin - N26
Director of Marketing Data(m/w/x)
Full-timeOn-siteManagementBerlin - Yoshi en
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin
Director of Data (BI & Analytics)(m/w/x)
Building AI-assisted predictive insights and data pipelines for a global supply chain platform. Ownership of client data models and metrics required. Performance-based incentives and rapid learning opportunities.
Requirements
- Ownership of client data models, pipelines, metrics
- Development of AI-assisted predictive systems
- Partnership with Growth, Operations, Product teams
- Turning data into competitive advantage
- Running daily dashboards, forecasts, decisions
- Ownership of data warehouse, models, BI stack
- Ensuring single-source-of-truth visibility
- Translating signal into action with Sales/Ops leadership
- Quota pacing, margin tracking, reactivation triggers
- Fulfillment risk management
- Collaboration with Tech for AI-assisted workflows
- Deployment of GPT-based or agentic assistants
- AI for forecasting, pricing, anomaly detection
- Moving from descriptive to predictive reporting
- Automation of recurring reports
- Powering daily management decisions with data
- Definition, implementation, tracking of core KPIs
- KPI tracking for GMV, NRM, automation, order quality
- Coaching a small team of analysts
- Hiring, mentoring, scaling data team
- Output-driven data team with speed and accuracy
- Integration of Data into business heartbeat
- Dashboard provision for Sales, Ops, Finance, Procurement, Product
- Guaranteeing data quality
- Clean pipelines, consistent definitions, zero ambiguity
- 100% alignment on KPI definitions across departments
- Automated, self-updating dashboards for every business function
- Forecast accuracy >95%
- Live margin reporting by GMV, margin, and region
- Live AI-assisted data copilot in Sales/Ops within 3 months
- Significant reduction in manual reporting (≥50% automation)
- Clean, documented, production-grade data stack
- Weekly exec dashboards replacing static reports
Tasks
- Lead and develop data functions
- Own data models, pipelines, and metrics
- Develop AI-assisted systems for predictive insights
- Partner with Growth, Operations, and Product
- Run daily dashboards, forecasts, and decisions
- Build and maintain the data warehouse and BI stack
- Operationalize insights for Sales and Operations
- Collaborate with Tech for AI workflows
- Elevate reporting to predictive analytics
- Automate recurring reports
- Define and track core KPIs
- Coach and scale a data team
- Integrate Data into business functions
- Guarantee data quality and consistency
- Ensure 100% KPI alignment across departments
- Create automated, self-updating dashboards
- Achieve 95%+ forecast accuracy
- Provide live margin reporting
- Embed AI-assisted data copilot in workflows
- Reduce manual reporting by 50%
- Maintain a clean, documented data stack
- Replace static slide reports with weekly exec dashboards
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- GPT
Benefits
Bonuses & Incentives
- Performance-based incentives
- Performance-based bonus program
Competitive Pay
- Attractive base salary
Learning & Development
- Rapid learning opportunities
Diverse Work
- Cross-functional exposure
Career Advancement
- Early leadership potential
Modern Office
- Modern Berlin office
Team Events
- Monthly All-Hands
- Team events
- Regular offsites
About the Company
A11
Industry
Logistics
Description
Das Unternehmen A11 ist ein Wachstumstreiber für Tech-Unicorns in Europa und bietet Expertise in Business Performance.
Not a perfect match?
- CoreTylynt
Head of Data(m/w/x)
Full-timeOn-siteNot specifiedBerlin - A11
Senior Operations Analyst(m/w/x)
Full-timeOn-siteSeniorBerlin - CoreTylynt
Senior Product Manager - Supply Chain & Logistics(m/w/x)
Full-timeOn-siteSeniorBerlin - N26
Director of Marketing Data(m/w/x)
Full-timeOn-siteManagementBerlin - Yoshi en
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin