Description
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.