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
- Robust 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 (Bengaluru)
🏢 LetsTransport
📍 Bengaluru