Job Summary: A Data Analyst collects, processes, and analyzes data to help organizations make informed decisions, transforming raw data into actionable insights using statistical techniques, visualization tools, and data management systems. Key Highlights: 1. Transforms raw data into actionable insights 2. Uses statistical methods to identify trends and patterns 3. Creates dashboards and reports using tools such as Excel and Tableau The **Data Analyst** collects, processes, and analyzes data to help organizations make informed decisions. They transform raw data into actionable insights, often using statistical techniques, visualization tools, and data management systems. **Key Responsibilities** * **Data Collection \& Management** * Gather data from multiple sources, such as databases, APIs, spreadsheets, and surveys. * Clean, organize, and validate data to ensure accuracy and consistency. * **Data Analysis** * Use statistical methods to identify trends, patterns, and relationships in datasets. * Interpret results to support business strategies, operational improvements, or product development. * **Reporting \& Visualization** * Create dashboards, charts, and reports using tools like **Excel**, **Tableau**, **Power BI**, or **Looker**. * Present findings to stakeholders in a clear and actionable manner. * **Collaboration** * Work with teams like marketing, finance, product, or operations to understand their data needs. * Translate complex data insights into business\-friendly recommendations. * **Continuous Improvement** * Monitor data quality and implement improvements in data collection and analysis processes. * Stay updated on industry trends, analytics tools, and best practices. **Required Skills** * Proficiency in **Excel**, **SQL**, and **data visualization tools**. * Knowledge of **statistics** and **data modeling**. * Analytical thinking and problem\-solving skills. * Strong communication skills for presenting insights. * Familiarity with **Python** or **R** for advanced analysis (optional but advantageous). **Typical Qualifications** * Bachelor’s degree in **Statistics**, **Mathematics**, **Computer Science**, **Economics**, or related field. * Experience in data analysis, reporting, or business intelligence roles. Job Type: Full-time, Part-time Compensation: R$60\.000,00 \- R$100\.000,00 per year Expected Working Hours: 40 hours per week Benefits: * Health insurance * Dental insurance * Private pension plan * Life insurance Work Location: On-site