Logistics Planning & Analytics Manager

Hisense USA•Alpharetta, GA

10h

About The Position

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 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 KPI Management & Data Analytics 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 Reporting & Presentations 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 Process Improvement & Collaboration 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

Requirements

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

Nice To Haves

Experience working with 3PL providers preferred

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