Data Assistant - Headquarters

Description

Job Summary: We are seeking a Data Assistant to support data management and analysis, ensuring data quality and generating strategic insights. Key Highlights: 1. Fundamental support in data management and analysis 2. Generation of insights for strategic decision-making 3. Process optimization and efficiency improvement through automation #### **About the role:** We are looking for a Data Assistant to join our team and support information management and analysis. The professional will play a key role in ensuring data quality and availability, helping generate insights that drive strategic decision-making across various company departments. #### **Main responsibilities:** * Collect, process, and analyze data from multiple sources, ensuring data integrity and consistency. * Develop and maintain managerial dashboards and reports using BI tools (Power BI, Tableau, or similar) and Excel. * Monitor performance indicators (KPIs) and support departments in interpreting results and making decisions. * Identify opportunities for process and product improvement based on data analysis. * Automate routine data collection and analysis tasks to optimize time and efficiency. * Ensure information quality and consistency by performing periodic validations and audits. * Collaborate with cross-functional teams to understand their needs and provide analytical support. #### **Mandatory requirements:** * Bachelor’s degree completed or in progress in fields such as Computer Science, Engineering, Statistics, Mathematics, Economics, or related disciplines. * Proven experience in data analysis and manipulation. * Advanced Excel proficiency. * Knowledge and experience with Business Intelligence tools (Power BI or similar). * SQL knowledge for database querying and manipulation. #### **Desirable qualifications (advantage):** * Analytical, proactive, and results-oriented mindset. * Strong communication skills to translate complex data into clear, actionable insights. * Experience with Customer Experience (CX) metrics such as NPS, CSAT, FCR. * Knowledge of data process automation and analysis (Python, R, or similar). * Experience in customer service or customer experience areas. #### **Work schedule and hours:** * Monday to Friday * 08:00 to 18:00 * Break: 1 hour and 12 minutes for lunch * Inclusive for PwD