Objective of Job:
Lead and develop the data-driven backbone of our factory-planning organization, delivering robust ad-hoc analyses, exploratory dashboards, and predictive insights that steer complex production projects. Ensure alignment with customer requirements, timelines, and budgets while driving analytical excellence, proactive risk management, and cross-functional collaboration across global stakeholders (Germany/China).
Key Responsibilities
1. Data Analysis & Modelling
- Perform ad-hoc analyses in SAP BW/HANA to uncover root-cause patterns (e.g., order cancellations, defect clusters).
- Build, deploy, and maintain dashboards and forecasting models that visualize performance trends and predict capacity, cost, and risk.
- Translate analytical findings into clear, actionable recommendations for planners, engineers, and senior management.
2. Planning & Coordination
- Integrate data-driven insights into production-planning workflows; validate concepts against historical benchmarks and predictive models.
- Support bottom-up budget and resource calculations through statistical modelling and scenario analysis.
- Ensure all planning outputs comply with customer requirements and technical specifications.
3. Stakeholder & Supplier Management
- Serve as the single point of contact for factory-planning analytics during early-phase discussions with WPLs, TPLs, and internal teams in Germany and China.
- Escalate critical data-derived risks to senior management and initiate corrective task forces when thresholds are breached.
4. Process & Standards
- Develop and optimize data pipelines, analytics standards, and reporting templates within the joint-venture environment.
- Define and track KPIs to monitor planning performance (e.g., on-time delivery, budget adherence) and model accuracy.
- Drive continuous improvement in risk-assessment and decision-making processes through automation and machine-learning pilots.
5. Reporting & Governance
- Prepare concise executive reports on analytical findings, project status, and financial outlook.
- Present evidence-based recommendations to senior leadership, supporting key investment and scheduling decisions.
