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Lead Data Analyst

Lead Data Analyst

Letstransport

6 - 10 years

6 - 10 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Data Analysis Oracle TMS JDA Warehouse Management Systems SAP TM ETL

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 Development: Expertise in Informatica, Talend, SSIS, or similar tools for data extraction,

transformation, and loading.

SQL Proficiency: Advanced SQL skills for querying large datasets and database optimization.

Data Modeling: Experience in designing dimensional models and data warehouses tailored for logistics

and supply chain operations.

Visualization Tools: Hands-on experience with Power BI, Tableau, or QlikView to develop interactive

analytics dashboards.

Programming & Automation: Proficiency in Python or R for statistical analysis, machine learning, and

automation.

Logistics & Supply Chain Analytics Expertise

Fleet Management Analytics: Utilization rates, fuel efficiency, predictive maintenance.

Route Optimization & Transportation Network Analysis: Identifying cost-effective and time-efficient

delivery paths.

Warehouse Operations & Inventory Optimization: Monitoring stock levels and streamlining fulfillment

processes.

Last-Mile Delivery Performance: Real-time tracking, delivery time predictions, and exception

management.

Freight Cost Modeling & Spend Analytics: Analyzing cost structures and optimizing transportation spend.

Supply Chain Visibility: End-to-end tracking and monitoring of shipments, orders, and compliance.

Predictive Analytics: Forecasting 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 Intelligence: ESRI, Google Maps API for spatial analytics.

Supply Chain Optimization Software: LLamasoft, Kinaxis for modeling and simulations.

IoT Data Integration: Experience 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.

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Lead Data Analyst