Job Summary: We are seeking a professional to analyze, model, and automate financial information using technological tools, generating reports and dashboards to support strategic decision-making in the mining sector. Key Highlights: 1. Financial information analysis and automation 2. Strategic reporting and dashboard generation 3. Integration of information across various departments A leading company in the mining sector is looking for a professional responsible for analyzing, modeling, and automating financial information through technological tools, generating reports and dashboards to facilitate strategic decision-making. Requirements: Bachelor's degree or higher in Systems Engineering, Computer Science, Informatics, Mathematics, Industrial Engineering, Economic Engineering, or related fields. 2–4 years of experience, preferably in industrial, mining, export, or logistics sectors. Advanced Excel skills, VBA (mandatory). Proficiency in Power BI, Power Query, SQL, and advanced Python. Desirable knowledge of Power Apps and Power Automate. Main Responsibilities: Build and enhance cost and budget structures using tools that streamline the process. Integrate and consolidate information across departments (finance, operations, commercial, laboratory) for transformation into data. Automate financial and operational reports to obtain efficient data for presentation to management. Develop processes in SQL and/or Python to improve operational efficiency. Generate dashboards and KPIs to support decision-making. Administer and optimize SQL Server: create and refine data models, develop advanced stored procedures and normalization, perform analysis with SQL Profiler, and monitor and resolve issues. Conditions and Benefits: Workplace: Lima – Independencia. Work modality: On-site. Working hours: Monday to Friday (8:00 a.m. to 6:00 p.m.). Formal employment under Peru’s General Regime. Competitive salary. Profit-sharing. Our company promotes equal opportunity and guarantees non-discrimination throughout all recruitment processes, strictly complying with current Peruvian legislation. Furthermore, we ensure confidential and responsible handling of applicants’ personal data, in accordance with applicable personal data protection regulations.-Requirements- Minimum education: University graduate 3 years of experience Age: between 28 and 40 years Knowledge: Python, SQL Server Keywords: developer, programmer, data, data, engineer, engineers, female engineer, eng, engineer