GeoSpatial Lead Analyst MAP, BANGALORE, Karnataka, India

Job summary

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 clear 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 restore services quickly and prevent recurrence

Optimize query performance within PL SQL driven environments by fine tuning indexes partition strategies and execution plans to support high volume transactional workloads

Apply Generative AI models responsibly to generate scenarios for route planning labor allocation and storage optimization while ensuring transparency and ethical use of data

Prepare and deliver concise presentations dashboards and reports that communicate complex geospatial and warehouse analytical insights to non technical stakeholders in an actionable format

Align daily activities with sustainability goals by identifying opportunities to reduce transportation distances energy consumption and waste within warehouse operations using data driven insights

Qualifications

Exhibit professional experience of at least ten years working with geospatial analytics warehouse management systems and enterprise data platforms in complex project environments

Demonstrate hands on proficiency in PL SQL including stored procedures performance tuning and relational data modeling to support robust analytics and reporting solutions

Show practical expertise with Blue Yonder WMS modules such as inventory management order fulfillment and labor management including configuration and troubleshooting exposure

Apply working knowledge of Generative AI techniques and tools to build prototypes experiments and production ready use cases that augment geospatial and warehouse decision processes

Communicate complex analytical findings clearly to both technical and non technical audiences while collaborating effectively in a hybrid work model with distributed teams

Display familiarity with supply chain logistics and fulfillment concepts including order orchestration transportation flows and warehouse process optimization gained through project experience

Adapt to evolving client priorities by managing multiple assignments simultaneously while maintaining high standards of quality documentation testing and stakeholder satisfaction

Certifications Required

Blue Yonder WMS certification preferred and any recognized certification in Generative AI or advanced data analytics such as a cloud provider AI certification

À savoir avant de postuler

Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.

À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.