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
Skills & Qualifications:
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
Professional Skills:
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
Experience:
7+ years in logistics, warehouse operations, or supply chain analytics
Proven track record in logistics forecasting, KPI management, and reporting
High-quality dashboards and presentations that inform leadership decisions
Continuous improvement initiatives implemented and measured
Hisense USA is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information. We comply with all applicable laws regarding equal employment opportunity and affirmatively seek to recruit, develop, and promote qualified individuals from diverse backgrounds. Our company is committed to providing a work environment that is free from discrimination, harassment, and retaliation. We encourage applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.
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