Junior Business Development - Markets

You will be able to join the Markets area, participating transversally in Commercial Excellence, Insights & Research, and Data & AI Automation initiatives. You will have the opportunity to develop a hybrid profile between business, data, and technology, providing support to the commercial activity of accounts, sectors, and priority initiatives.

• Provide support in the preparation of commercial committees, follow-up meetings, and pipeline reviews.
• Prepare analyses, executive presentations, proposals, credentials, and success stories based on existing materials and data.
• Monitor commercial activity KPIs, identify basic deviations, and prepare action-oriented syntheses.
• Update and maintain information on priority accounts and opportunities in the CRM, ensuring their quality and consistency.
• Coordinate requests and deliverables with different stakeholders, following up on deadlines and next steps.

• Perform advanced searches and develop profiles of companies, business groups, sectors, markets, contacts, and relevant relationships.
• Build target company lists according to business criteria and document the methodology and sources used.
• Prepare drafts of priority account reports, market analyses, trends, and competitive intelligence.
• Update knowledge repositories and sectoral materials, facilitating their reuse and traceability.
• Support operational processes of the area, including budget monitoring, supplier payments, and satisfaction surveys.

• Update, validate, and clean data, detecting inconsistencies and proposing improvements in quality controls.
• Prepare recurring reports and support the maintenance and evolution of existing dashboards.
• Create simple automations within the Microsoft environment to reduce manual tasks and improve traceability.
• Provide support in the use of Microsoft 365 Copilot and other AI tools, preparing guides and training materials.
• Collaborate in the design, testing, and documentation of AI use cases for Markets, applying internal criteria for security, confidentiality, and responsible use.

• 0 - 3 years of experience.
• University degree in Business Administration, Finance, Economics, Business Analytics, Engineering, Mathematics, Statistics, or related disciplines.
• Good financial foundation: understanding of financial statements, business metrics, and basic criteria for profitability and budget monitoring.
• Analytical capacity and fluency working with data, structuring information, and extracting clear conclusions.
• Strong command of Excel and PowerPoint.
• Knowledge and habitual use of generative AI tools, with the judgment to validate results, work with sources, and protect confidential information.
• Professional level of English, both oral and written.