




Summary: Seeking a Civil Engineering student specializing in Data Analysis to enhance commercial efficiency and enable data-driven decision-making for sales and operations. Highlights: 1. Support sales and operations teams 2. Identify, analyze, and automate key processes 3. Enable data-driven decision-making We are looking for a student enrolled as a Civil Engineering focusing in Data Analysis who will support the sales and operations teams by identifying, analyzing, and automating key processes that drive commercial efficiency and enable data‑driven decision‑making. **Main Responsibilities*** **Sales process mapping and analysis:** Document current sales workflows, identify bottlenecks, inefficiencies, and opportunities for improvement. * **Data collection and preparation:** Extract, clean, and structure data from different internal sources (CRM, ERP, commercial reports, historical databases, etc.). * **Development of automated dashboards and reporting:** Build interactive dashboards and automated reports using tools such as Power BI, Tableau, or equivalent, enabling effective KPI tracking for the sales team. * **Implementation of automation solutions:** Design and develop automations to reduce manual tasks within the commercial area, using tools like Python, SQL, Power Automate, or internal scripting tools. * **Statistical modeling and analysis:** Apply data analysis techniques to uncover patterns, trends, and insights that support commercial planning and forecasting. * **Process optimization:** Propose adjustments or redesigns of processes based on data, with a focus on efficiency, productivity, and error reduction. * **Technical and operational documentation:** Document methodologies, scripts, workflows, and procedures to ensure operational continuity and knowledge transfer. * **Cross‑functional collaboration:** Work alongside the sales, IT, operations, and commercial management teams to ensure proposed solutions align with business needs. ***Education and Experience Required:*** Enrolled in University.


