Job Mission: Transform data into practical intelligence by connecting people, processes, and technology to support strategic decision-making and accelerate company growth. The mission of this professional is to create analyses, integrations, and automations that simplify routines, reveal opportunities, and strengthen operations—ensuring every piece of data delivers real impact on results, marketing, sales, and the company’s continuous evolution. **1. Data Analysis and Business Intelligence** * Collect, organize, process, and interpret operational and sales data (e.g., revenue, customer flow, average transaction value, top-selling products, customer behavior, etc.). * Identify patterns, bottlenecks, and opportunities for business improvement. * Develop strategic analyses to support management decisions and growth initiatives. **2. Dashboard and Report Development** * Build interactive dashboards and automated reports using **Power BI, Excel, or Looker Studio**. * Ensure clarity, accuracy, and consistent updating of information. * Present insights logically and visually attractively to relevant teams. **3. Process Integration and Automation** * Integrate internal and external systems to facilitate information flow across departments. * Automate repetitive tasks to increase productivity and reduce errors. * Maintain organized, functional, and accessible data infrastructure. **4. Support for Marketing, Sales, and Operations** * Support the marketing team with audience segmentation, contact lists, behavioral analysis, and campaign insights. * Assist sales and operations teams with performance data, targets, and key metrics. * Serve as the technical and analytical point of reference for various company departments. **5. Technological Development and Innovation** * Research and implement new tools, integrations, and solutions to optimize processes. * Collaborate on the evolution of internal systems, platforms, and workflows. * Propose continuous improvements grounded in data, technology, and industry best practices. **6. Data Quality and Governance** * Ensure accuracy, consistency, and reliability of all data handled. * Maintain thorough documentation of processes, data sources, and methodologies used. * Uphold information security and organizational integrity.