**Cleaning Data**:Raw data can contain duplicates, errors, or outliers. Cleaning the data ensures its quality in spreadsheets or through programming languages, preventing incorrect or skewed interpretations. - **Modeling Data**:Creating and designing database structures is part of modeling data. Data analysts decide what types of data to store, establish relationships between data categories, and define how the data appears. - **Interpreting Data**: Data interpretation involves identifying patterns or trends that can answer specific questions. It’s about extracting meaningful insights from the data. - **Presentation and Communication**:Communicating findings is crucial. Data analysts create visualizations like charts and graphs, write reports, and present information to stakeholders. - **Tools Used**:During data analysis, analysts employ various tools to enhance accuracy and efficiency. These tools include programming languages (such as Python or R), data visualization tools (like Tableau), and statistical software (such as SPSS or Excel). Tipo de puesto: Tiempo completo Sueldo: $5.000.000 - $6.000.000 al mes