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hace 5 días
Corteva is seeking a highly skilled Business Data Consultant to join our team. As a Business Data Consultant, you will play a critical role in optimizing systems and processes to delight our customers and ensure strong business relationships.
About the RoleThe Business Data Consultant will be responsible for integrating design and planning, data mapping and transformation, integration development, system integration maintenance, documentation and compliance, collaboration and stakeholder engagement, quality assurance and testing, change management and deployment, and continuous improvement.
Key Responsibilities- Collaborate with stakeholders to gather requirements and design integration solutions that facilitate the seamless exchange of data between internal and external systems, platforms, and data sources.
- Perform data mapping, transformation, and modeling activities to ensure compatibility and consistency of data formats, structures, and semantics across integrated systems, adhering to data governance standards and best practices.
- Develop, test, and deploy data integration solutions using integration tools and technologies, ensuring scalability, performance, and reliability.
- Monitor, troubleshoot, and maintain data integrations to ensure ongoing data quality, integrity, and availability, proactively identifying and resolving integration issues, errors, and performance bottlenecks.
- Document integration processes, data mappings, configurations, and dependencies, maintaining accurate and up-to-date documentation to support knowledge transfer, compliance, and auditing requirements.
- Collaborate with cross-functional teams, including IT, operations, supply chain, finance, and data governance, to understand integration requirements, prioritize integration initiatives, and align integration solutions with business objectives.
- Develop and execute integration test plans and scripts to validate data mappings, transformations, and workflows, ensuring the accuracy, completeness, and reliability of integrated data across systems.
- Manage change requests, version control, and deployment processes for data integration solutions, coordinating with stakeholders to schedule and execute deployment activities with minimal disruption to business operations.
- Identify opportunities for process improvements, automation, and optimization in data integration workflows, tools, and technologies, and drive initiatives to enhance integration capabilities and efficiency.
- Degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 2 years of experience in data integration, ETL development, or related roles, preferably in the agriculture or manufacturing industry.
- Strong experience in implementing and understanding operations optimization tools.
- Being familiar with reporting and data visualization tools such as Tableau and Power BI.
- Knowledge of SAP and/or BW and IBP is a plus.
- Knowledge of MS Visual Studio.
- Knowledge of Microsoft Entity Framework, Apsx.net and VB technologies.
- Knowledge of machine learning models, data mining, and statistical analysis tools is a plus.
- Knowledge in programming languages such as Python, R or ML principles is a plus.
- Excellent analytical and problem-solving skills.
- Strong understanding of data governance principles, data management best practices, and regulatory compliance requirements.
- Excellent communication, collaboration, and stakeholder management skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Ability to meet deadlines.
- Ability and comfort working with large and complex datasets.
- Proactive and able to work independently.
- Ability to prioritize work, work under time constraints and under pressure.
- Ability to work in an office environment and/or travel as required.
- Ability and experience in a highly international work environment.
- Ability to influence and motivate across functions and reporting lines.
- Customer orientation.
- Fluency in English. One additional relevant language preferred.
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