Browse
···
Log in / Register
Job Summary: The Data Lead will play a pivotal role in the technical leadership and management of the Analytics Engineers team, transforming raw data into strategic assets and driving data-informed decision-making. Key Highlights: 1. Technical leadership and management of the Analytics Engineers team. 2. Development of robust pipelines and dashboards for strategic decision-making. 3. Direct involvement in creating visualizations for reporting results. **FROM DISCOURSE TO PRACTICE** **About the team:** The mission of the Analytics Engineer team is to transform raw data into reliable strategic assets, ensuring that technical modeling, tools used, and excellence in refined data quality translate into high-performance indicators. We act as an engine to drive decision-making across the entire bank, precisely and intelligently connecting technical engineering with business needs. **Challenges of this role:** As the Data Lead, you will play a pivotal role in the technical leadership and management of the Analytics Engineers team. Your day-to-day responsibilities will focus on: * Managing and monitoring the team’s task execution, ensuring alignment with stakeholders and deep understanding of each requirement. * Leading the development of robust pipelines and dashboards that provide critical support for data-driven decisions. * Directly developing tables, spreadsheets, and visualizations for reporting strategic results. * Providing technical guidance to engineers, balancing dashboard development with efficient delivery and people management. **Requirements:** * Completed undergraduate degree in Information Technology, Analytics, Statistics, or related fields. * Proven experience in the data domain, with solid background as an Analytics Engineer, BI Engineer, or similar roles. * Advanced proficiency in SQL, including expertise in structures, query optimization, and dimensional and relational modeling. * Advanced experience with DBT/Snowflake and/or Databricks, and professional experience building, testing, and documenting data transformation pipelines. * Experience building, maintaining, and orchestrating complex data pipelines using Airflow. * Knowledge of Google Cloud Platform (GCP), with emphasis on BigQuery (performance and cost management) and familiarity with Google Cloud Storage. * Proficiency in dashboard development using Looker Platform, Power BI, or Tableau. * Intermediate-level English. * Familiarity with product metrics (AARRR), marketing metrics (LTV, CAC), or financial KPIs. * Availability to work in a hybrid model, with one day per week onsite at the office located next to Parque Vila Lobos. **Nice-to-have (Differentiators):** * Advanced or fluent English. * MBA in a relevant field. * Python knowledge applied to task automation, custom pipeline development, or exploratory analysis. * Prior experience working in financial services companies. Minimum Education Level: Bachelor's Degree
