Data Analyst/PL

Description

Job Summary: We are seeking a professional to collect, organize, and analyze data; develop reports and dashboards; and collaborate with teams to provide analytical support and strategic insights. Key Highlights: 1. Experience in data analysis and data governance 2. Familiarity with SQL, Python or R and visualization tools 3. Knowledge of statistics, databases (SQL/NoSQL), and ETL Description: * Bachelor's degree completed in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields. * Intermediate English proficiency for reading and interpreting scientific articles and technical documentation. * Strong communication skills to present data and insights clearly and objectively, and ability to work effectively in a team. * Ability to work with large volumes of data and solve problems analytically. Specific Knowledge: * Experience working in data analysis or Data Governance areas. * Advanced knowledge of data analysis methodologies and practices. * Basic understanding of data visualization using tools such as Tableau, Power BI, or similar. * Familiarity with data analysis tools, SQL, Python, or R. * Advanced knowledge of data visualization using tools such as Tableau, Power BI, or similar. * Knowledge of statistics and quantitative analysis methodologies. * Knowledge of git, Docker, Spring Boot, and Python. * Knowledge of relational databases (Oracle, MySQL, PostgreSQL). * Knowledge of NoSQL databases (MongoDB, Redis). * Knowledge of Hadoop and Apache Spark architectures. * Knowledge of ETL tools such as Pentaho PDI or similar. * Collect and organize data from various internal and external sources. * Perform data analysis using appropriate tools and techniques. * Develop and maintain reports and dashboards to monitor performance indicators. * Assist in identifying trends and patterns in data that may contribute to improving business processes. * Collaborate with other teams to understand their data needs and provide analytical support. * Participate in meetings and presentations to communicate data-driven findings and recommendations. * Ensure the integrity and quality of collected and analyzed data. 2511010202241366463