




Position Summary: We are seeking a Data Exploitation Specialist to design and optimize information management and analysis strategies, thereby impacting business, financial, and marketing decisions. Key Responsibilities: 1. Lead data exploitation and predictive modeling projects 2. Data analysis using Python, Databricks, and Machine Learning 3. Integration of data analytics into business and financial processes GRUPO METROPOLITANO INVITES YOU TO JOIN AS: **DATA EXPLOITATION SPECIALIST** Education: Degree in Data Engineering, Actuarial Science, Systems Engineering, or related fields; Master’s degree in Data Exploitation preferred. Experience: 5 years as a project leader conducting data analysis in technology sectors, leading data exploitation and predictive modeling projects. Purpose: To design and optimize information management and analysis strategies that impact business, financial, and marketing decisions. This position focuses on information exploitation from a CRM system, leading a project to design, implement, and optimize a long-term information management strategy; analyze quantitative and qualitative digital environment data to extract valuable insights; administer distributed storage systems; conduct environmental analysis and design a reporting system for data visualization; develop database queries; develop statistical models; select, extract, and organize data; support or refute team research questions based on data analysis. **Technical Experience:** In-depth knowledge of data analysis using tools such as Python and Databricks, particularly in building predictive models and Machine Learning. **Tools and Technologies Used:** Azure, Databricks, Python (with libraries such as Pandas, Polars, Scikit\-learn), Streamlit, Power BI, and Azure DevOps. These are employed for large-scale data analysis, visualization, and Machine Learning modeling. **Agile Methodologies:** Projects follow an agile methodology, with weekly goals and continuous reviews to adjust direction according to progress. **Business Focus:** Not only mastery of data analysis techniques but also the ability to integrate them into business and financial processes. Collaborate with multiple teams—including data engineering, development, finance, and business units—to implement data-driven solutions. We Offer: Competitive Salary Statutory Benefits \+ Additional Benefits Interested candidates may apply through this channel


