M25332 ERP Data & Analytics Specialist job opportunity at CIMMYT.

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Date2025-12-22T17:35:14.985Z bot
CIMMYT M25332 ERP Data & Analytics Specialist
Experience: 4-years
Pattern: Full-time
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degreeAssociate
loacation Texcoco, Mexico
loacation Texcoco....Mexico
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CIMMYT is a cutting edge, non-profit, international organization dedicated to solving tomorrow’s problems today. It is entrusted with fostering improved quantity, quality, and dependability of production systems and basic cereals such as maize, wheat, triticale, sorghum, millets, and associated crops through applied agricultural science, particularly in the Global South, through building strong partnerships. This combination enhances the livelihood trajectories and resilience of millions of resource-poor farmers, while working towards a more productive, inclusive, and resilient agrifood system within planetary boundaries. CIMMYT is a core CGIAR Research Center, a global research partnership for a food-secure future, dedicated to reducing poverty, enhancing food and nutrition security and improving natural resources. The Data and Analytics Specialist will support the preparation, integration, and reporting of organizational data within the Microsoft ecosystem. The role ensures that data is accurate, consistent, and available for analytics and reporting. Familiarity with Dynamics 365 application objects and modules, including Finance & Operations (F&O) and Customer Engagement (CE), is required to support reporting and integration activities across enterprise systems. In addition, familiarity with Microsoft Fabric as a unified data and analytics platform is essential to support data pipelines, Lakehouse structures, and semantic models that enable advanced reporting and analytics.  Specific Duties and Responsibilities  Data Preparation & Curation  Perform data curation tasks including cleaning, validation, and documentation of datasets.  Contribute to the creation of a basic data dictionary and maintain metadata documentation.  Identify opportunities to improve data processes, reporting efficiency, and automation.  Data Extraction & Transformation  Develop and maintain SQL queries and Spark scripts for data extraction and transformation.  Assist in maintaining pipelines, Lakehouse structures, and semantic models in Microsoft Fabric.  Apply knowledge of Dynamics 365 application objects (entities, tables, forms, views, fields,  relationships)  to  ensure  accurate data mapping and reporting.  Reporting & Visualization  Create and maintain reports in Dynamics 365, Power Bl, and SSRS (RDLs).  Support reporting and data extraction from Dynamics 365 Finance & Operations modules such  as  Finance,  HR ,  Operations, and Warehouse Management.  Support reporting and data extraction from Dynamics 365 Customer Engagement modules  including  Sales,  Customer  Service, and Marketing.  Automation & Integration  Design and implement Power Automate flows to streamline processes and trigger alerts.  Manage SharePoint lists, libraries, and permissions to ensure secure and organized data storage.  Collaborate on integration tasks between Dynamics 365 and other enterprise systems, ensuring  data  flows  are  consistent, secure, and documented.  Collaboration & Support  Work with senior engineers, analysts, and business teams to clarify requirements and deliver reliable solutions.    Bachelor's degree in Computer Science, Information Systems, or a related field. Proven track record in performing a similar role, with a minimum of 4 years' experience.  SQL: Ability to design, write, and optimize queries for extracting and transforming data.  Apache Spark (Basic Level): Familiarity with Spark notebooks and distributed data processing concepts.  SharePoint: Competence in managing lists, libraries, and permissions.  Power Automate: Ability to design and deploy flows for automation and integration.  RDLs (SSRS): Basic skills in editing and deploying RDL files.  Dynamics 365 Reports: Experience in dashboards, reports, and queries with knowledge of application objects.  Power Bl: Basic proficiency in data modeling, dashboards, and DAX expressions.  Microsoft Fabric: Awareness of Lakehouse architecture, pipelines, and semantic models, including medallion architecture (bronze, silver, gold layers).  Dynamics 365 Finance & Operations (F&O): Basic understanding of data structures and reporting needs.  Dynamics 365 Customer Engagement (CE): Familiarity with Sales, Customer Service, and Marketing modules.  System Integration: Awareness of APls, connectors, and data pipelines linking Dynamics 365 with other enterprise systems

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