Agrofel

Business Analyst

• Identify and prioritize opportunities for AI, automation, and data across all areas of the company.
• Work cross-functionally with Commercial, Operations, Logistics, Finance and other teams, driving transformation initiatives.
• Map end-to-end processes and redesign workflows with a focus on efficiency and scalability.
• Translate business problems into structured digital solutions (AI, automation, systems).
• Lead initiatives from discovery through implementation, together with Product and Technology teams.
• Ensure solutions deliver measurable impact (financial results, productivity, risk reduction).
• Serve as an internal AI reference, promoting culture, best practices, and new use cases across the company.
• Support the definition of governance, prioritization criteria, and best practices for AI use.
• Monitor results and continuously evolve implemented solutions.

Business Analyst, AI (Mid-level)

Full-stack Engineer

• Manage the technical development team, assigning tasks and monitoring performance.
• Provide continuous feedback and foster the professional development of the team.
• Provide technical leadership for the evolution and maintenance of corporate systems.
• Ensure performance, security, scalability and alignment with business processes.
• Act as a technical reference for developers and analysts.
• Conduct code reviews and enforce quality standards such as Clean Code and SOLID.
• Design and maintain integration architectures between internal systems and external platforms.
• Work with integrations via REST APIs, messaging and microservices.
• Plan and lead system implementation, migration and modernization projects.
• Apply agile methodologies such as SCRUM in delivery management, running agile ceremonies like dailies, plannings, reviews and retrospectives.
• Define and monitor CI/CD pipelines in Azure DevOps.
• Manage critical incidents and coordinate technical efforts internally and with external parties.
• Ensure availability, operational reliability and compliance with SLAs.
• Evaluate deliveries from vendors and technology partners.
• Ensure compliance, governance and adherence to defined technical standards.
• Document architectures, APIs and integration flows, ensuring continuity of technical knowledge and information governance.
• Foster technological innovation by evaluating new tools, frameworks and solutions.
• Encourage the use of Artificial Intelligence tools for productivity gains, task automation and software development support.
• Promote best practices in automated testing, including unit, integration and end-to-end validation.
• Ensure the quality and reliability of deliveries through testing strategies, code review and continuous integration.
• Promote a culture of continuous improvement, innovation and technical excellence within the development team.

Business Analyst, AI (Mid-level)

Tech Lead – Corporate Systems and Integrations