What are the responsibilities and job description for the Logistics Planning & Analytics Manager position at Hisense USA?
Overview
The Logistics Planning & Analytics Manager is a data-driven leader responsible for forecasting, modeling, and reporting logistics and warehouse operations. This role drives decision-making through KPI management, predictive analytics, and performance reporting, ensuring operational efficiency, cost control, and continuous improvement. The ideal candidate combines deep analytical skills with practical logistics experience to transform data into actionable insights and executive-level presentations.
Responsibilities
Logistics Forecasting & Modeling
Technical Skills:
The Logistics Planning & Analytics Manager is a data-driven leader responsible for forecasting, modeling, and reporting logistics and warehouse operations. This role drives decision-making through KPI management, predictive analytics, and performance reporting, ensuring operational efficiency, cost control, and continuous improvement. The ideal candidate combines deep analytical skills with practical logistics experience to transform data into actionable insights and executive-level presentations.
Responsibilities
Logistics Forecasting & Modeling
- Build, maintain, and continuously improve logistics and warehouse forecasting models for capacity, inventory flow, and seasonal demand
- Develop predictive analytics to identify trends, risks, and opportunities for cost savings and operational efficiency
- Support strategic planning initiatives by providing data-driven recommendations
- Own core warehouse and logistics KPIs, including:
- Logistics Expense Rate
- Inventory Accuracy
- Damage Rate
- Warehouse Utilization Rate
- Collect, validate, and analyze KPI data from multiple systems (WMS, ERP, 3PL data)
- Identify gaps, trends, and anomalies in operational performance
- Create clear, actionable, and visually compelling dashboards and reports using Power BI and Advanced Excel
- Prepare executive-level presentations and operational summaries for leadership review
- Translate complex data into insights that drive decisions on space utilization, cost reduction, and service improvements
- Partner with warehouse operations, finance, and 3PL providers to implement improvements informed by data insights
- Recommend and support system enhancements, automation, and best practices
- Lead initiatives to reduce logistics costs, improve inventory accuracy, and optimize warehouse space
Technical Skills:
- Advanced proficiency in Excel (pivot tables, Power Query, complex formulas)
- Strong experience with Power BI or similar data visualization tools
- Data analytics and statistical modeling experience
- Experience with WMS/ERP systems
- Forecasting, scenario modeling, and KPI analysis
- Strong analytical and problem-solving capabilities
- Ability to synthesize complex data into executive-level insights and presentations
- Detail-oriented with a focus on accuracy and actionable insights
- Effective collaboration and communication across cross-functional teams
- 7 years in logistics, warehouse operations, or supply chain analytics
- Proven track record in logistics forecasting, KPI management, and reporting
- Experience working with 3PL providers preferred
- Accurate and actionable logistics forecasting
- Improved KPI performance: lower expense rate, higher inventory accuracy, reduced damage, better warehouse utilization
- High-quality dashboards and presentations that inform leadership decisions
- Continuous improvement initiatives implemented and measured