Job Summary: Become a Data Analyst and transform data into strategic decisions at a rapidly growing company where your work translates directly into action and results. Key Highlights: 1. Transform data into decisions that drive business growth 2. Work with data as a central component of the company’s strategy 3. Build dashboards and conduct analyses to generate actionable insights * Analyst, Data, Data Analyst, IT, Senior, Information Systems, Information Technology Do you enjoy transforming data into decisions that truly change the game? This Senior Data Analyst position is for you. You will work at a rapidly growing company where data is central to the strategy. Here, your work does not stop at reports—it becomes action, product, and results. * Map, clean, and consolidate data from multiple sources. * Build dashboards and managerial reports (e.g., Power BI, Tableau, or similar tools). * Define and monitor business KPIs in collaboration with partner departments. * Conduct exploratory and diagnostic analyses to generate actionable insights. * Develop models and segmentation strategies to support strategic decision-making. * Ensure data quality, consistency, and governance. * Present analyses clearly to both technical and non-technical audiences. ### **Requirements:** – Prior experience as a Data Analyst. – Proficiency in SQL for querying and data manipulation. – Hands-on experience with visualization tools (Power BI, Tableau, or similar). – Knowledge of basic statistics and data analysis. – Experience working in a hybrid environment. – English proficiency for reading and participating in technical meetings or materials. ### **Key Competencies:** – Databases / Languages and Tools – SQL (Microsoft/PostgreSQL) – Python (data analysis) – Big Data (Databricks, Spark – preferred) – Power BI – Tableau – Qlik View / Sense ### **CRM System Integration:** * Salesforce, SAP, REST APIs, IQVIA ### **Preferred Qualifications:** – Experience with cloud-based databases (BigQuery, Redshift, Snowflake, etc.). – Previous work in Product, Growth, or Marketing teams. – Experience with predictive modeling or machine learning. – Participation in data governance or data quality initiatives. #### **Language: Intermediate English** ### **Hybrid Work Model: São Paulo, SP.** **APPLY NOW** -----------------------