Key Responsibilities:
Lead and mentor a team of data analysts to develop and maintain logistics data models and dashboards

Design and implement ETL processes to integrate data from multiple sources, including TMS, WMS, and
ERP systems

Develop and optimize data models to support route optimization, fleet utilization, load balancing, and
last-mile delivery performance

Create interactive dashboards and reports to provide actionable insights for executive decision-making

Collaborate with operations, transportation, and supply chain teams to identify key performance
indicators (KPIs) and analytics opportunities

Establish and enforce data governance standards to ensure accuracy and integrity of logistics data

Drive predictive analytics initiatives for demand forecasting, fleet maintenance, and cost reduction
strategies

Partner with IT, engineering, and business stakeholders to implement advanced analytics solutions and
automation

Technical

Skills:

ETL DevelopmentExpertise in Informatica, Talend, SSIS, or similar tools for data extraction,
transformation, and loading

SQL ProficiencyAdvanced SQL skills for querying large datasets and database optimization

Data ModelingExperience in designing dimensional models and data warehouses tailored for logistics
and supply chain operations

Visualization ToolsHands-on experience with Power BI, Tableau, or QlikView to develop interactive
analytics dashboards

Programming & AutomationProficiency in Python or R for statistical analysis, machine learning, and
automation

Logistics & Supply Chain Analytics Expertise
Fleet Management AnalyticsUtilization rates, fuel efficiency, predictive maintenance

Route Optimization & Transportation Network AnalysisIdentifying cost-effective and time-efficient
delivery paths

Warehouse Operations & Inventory OptimizationMonitoring stock levels and streamlining fulfillment
processes

Last-Mile Delivery PerformanceReal-time tracking, delivery time predictions, and exception
management

Freight Cost Modeling & Spend AnalyticsAnalyzing cost structures and optimizing transportation spend

Supply Chain VisibilityEnd-to-end tracking and monitoring of shipments, orders, and compliance

Predictive AnalyticsForecasting demand, supply chain disruptions, and fleet availability

Preferred Tools & Technologies:
Transportation Management Systems (TMS)SAP TM, Oracle TMS, JDA

Warehouse Management Systems (WMS)Manhattan, HighJump, SAP EWM

GIS & Location IntelligenceESRI, Google Maps API for spatial analytics

Supply Chain Optimization SoftwareLLamasoft, Kinaxis for modeling and simulations

IoT Data IntegrationExperience with telematics, RFID, GPS-based tracking systems

Leadership & Soft Skills
5+ years of experience in data analytics, with at least 2 years in a leadership role

Ability to translate business requirements into data-driven solutions

Experience managing end-to-end analytics projects, from conception to execution

Strong communication skills to present findings to both technical and non-technical stakeholders

Ability to prioritize multiple initiatives and align analytics efforts with business objectives

Lead Data Analyst

Job Description