




Job Summary: A professional for data analysis and modeling, proficient in SQL, ETL, and data visualization tools, working on Data Science projects and managerial reporting. Key Highlights: 1. Solid experience in data analysis and modeling 2. Advanced SQL and ETL proficiency 3. Knowledge of Python or R for data analysis Bachelor's degree in Information Technology, Computer Science, Mathematical Statistics, or Engineering. Solid experience in data analysis and modeling. Advanced SQL proficiency for querying, data manipulation, and database optimization. Experience with ETL (Extract, Transform, Load) and integration of data from multiple sources. Advanced knowledge of data visualization tools (Power BI, Tableau, Qlik, or similar). Ability to create and maintain dashboards and managerial reports. Experience in dimensional modeling and Data Warehouse concepts. Knowledge of Python or R for data analysis. Understanding of applied statistics and business metrics. Experience with Agile methodologies (Scrum or Kanban). **Data Analysis for Intelligence and Data:** Support data and information analysis aligned with business structure in Data Science projects Mine data from primary and secondary sources; Clean and organize data to discard irrelevant information Integrate and transform data from multiple sources, ensuring data quality and consistency used in analyses; Model data and build more complex SQL queries and optimize databases; Develop and maintain up-to-date reports, dashboards, and interactive graphical visualizations using DataViz tools (e.g., Tableau, Power BI, Metabase, Qlik View, Looker Studio); Design, analyze, and interpret results using statistical tools and techniques **Minimum Education Level:** Bachelor's Degree


