GeoSpatial Lead Analyst MAP role focuses on designing and optimizing geospatial solutions that integrate Generative AI PL SQL and Blue Yonder WMS for a global client base in a hybrid work model. The position requires ten to fourteen years of experience to drive complex warehouse optimization initiatives that enhance operational efficiency and deliver measurable value for customers and society.
Responsibilities
• Collaborate with cross functional teams to analyze geospatial data and design optimized warehouse network solutions that improve delivery efficiency and reduce operational bottlenecks
• Develop advanced analytical models that combine geospatial intelligence with Generative AI techniques to predict demand patterns and optimize inventory placement strategies
• Implement PL SQL based data pipelines that ensure accurate extraction transformation and loading of logistics and warehouse data into enterprise databases for reliable reporting
• Configure and enhance Blue Yonder WMS functionalities to support complex distribution scenarios ensuring high system availability and consistent operational performance
• Validate integration between Blue Yonder WMS and upstream as well as downstream applications by conducting thorough functional testing and resolving identified defects promptly
• Document solution architectures process flows and configuration decisions in a transparent and structured manner to support long term maintainability and knowledge sharing across the team
• Partner with business stakeholders to gather detailed requirements translate them into functional specifications and align geospatial and warehouse solutions with strategic objectives
• Mentor junior analysts by reviewing their design artifacts code deliverables and analytical outputs while fostering a culture of quality accountability and continuous learning
• Perform detailed root cause analysis of production issues related to data quality system integration or configuration in order to
📌 GeoSpatial Lead Analyst MAP (India)
🏢 Cognizant
📍 India
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