Job Summary: A professional to support analytical projects in data preparation, cleaning, and preliminary analysis, applying statistical techniques and simple machine learning models to contribute initial insights. Key Highlights: 1. Working on projects with high social impact. 2. Pursuing knowledge and sharing it with the team. 3. Developing solutions that support decision-making. We have a highly cohesive team united by our mission to **make life easier for businesses and individuals**. Our products have nationwide reach and significant **social impact**. We seek professionals motivated by continuous learning and the joy of sharing knowledge with their team, so together we can continue building this company’s success story. If you enjoy challenges and want to work on a project that truly adds value to society, AZ is the place for you! **Work modality: Hybrid; residency in Campo Grande/MS is required.** **About the professional:** This professional will support the organization’s analytical projects through data preparation, cleaning, and preliminary analysis, applying basic statistical techniques and simple machine learning models. Working under the guidance of more experienced professionals, they will contribute initial insights, ensuring data is ready, reliable, and accessible for more advanced analyses. Their focus will be on high-quality execution, continuous learning, and delivering solutions that support operational and tactical business decisions. **Responsibilities:** * Build basic models using scikit\-learn to predict business outcomes in initial, low-complexity scenarios; * Perform data preparation and cleaning using pandas and other tools, eliminating inconsistencies to ensure data readiness for analysis; * Conduct preliminary data analysis during the early phase of a new project to understand its key characteristics; * Implement basic extraction, transformation, and loading (ETL) workflows using Python or dedicated tools, integrating data from diverse sources to consolidate them into accessible datasets whenever preparing datasets for initial analyses is required; * Apply linear regression and decision tree algorithms to make predictions for low-complexity problems with structured data; * Generate basic charts and visualizations to communicate results visually and clearly, using tools such as Matplotlib or Power BI; * Execute basic queries on relational databases using SQL to extract and organize data needed for analyses or model feeding; * Develop reports with simple dashboards or tables in Power BI or Excel to present key analytical findings clearly and accessibly to stakeholders; * Assist in data validation by verifying and analyzing data integrity, ensuring no errors or inconsistencies occur during data collection and preparation for analysis; * Conduct functional and performance testing of developed models using evaluation metrics to ensure models meet objectives and operate correctly before production and final delivery to the client. * **Practical experience with databases and data analysis is desirable.**