Requirements Gathering: Collaborate with stakeholders to identify business needs and translate them into detailed functional and technical requirements for data integration projects.
Data Analysis: Analyze large datasets from manufacturing and ecommerce systems to identify trends, discrepancies, and opportunities for improvement. Provide data-driven insights to support business decisions.
Process Optimization: Work closely with IT and operations teams to streamline processes by integrating data across manufacturing and ecommerce platforms. Identify opportunities for automation and efficiency improvements.
Solution Design: Design and document data integration solutions, including data mapping, workflows, and system interfaces, ensuring alignment with business objectives and technical feasibility.
Stakeholder Collaboration: Serve as the primary point of contact between business units and technical teams. Facilitate communication to ensure alignment on project goals, timelines, and deliverables.
Project Management: Lead and manage multiple data integration projects simultaneously, ensuring they are delivered on time, within scope, and budget.
Testing and Validation: Coordinate and conduct testing of data integration solutions to ensure accuracy, reliability, and performance. Validate that the solutions meet business requirements and are ready for deployment.
Documentation: Create and maintain comprehensive documentation, including business requirements, technical specifications, process flows, and user guides.
Training and Support: Provide training and support to end-users and stakeholders to ensure successful adoption and use of data integration solutions.
Continuous Improvement: Stay updated on industry trends, best practices, and emerging technologies related to manufacturing, ecommerce, and data integration. Proactively suggest improvements to existing processes and systems.