




Job Summary: Senior Data Analyst responsible for structuring and evolving the data ecosystem, working end-to-end across the data lifecycle to support AI models. Key Highlights: 1. Work autonomously and take ownership of innovative projects. 2. Transform data into actionable insights, with a focus on AI. 3. Collaborate with multidisciplinary teams to enable fast and reliable decision-making. **About Us:** Since 2001, INDT is a technology institute that inspires innovation and breathes technology! Development is in our DNA, and we offer a collaborative environment filled with challenges for learning and growth. We originated in Manaus (AM) through Nokia and now operate nationwide, aiming to deliver our services and culture across all regions of Brazil. Currently, we have over 200 active employees. Here, you’ll enjoy autonomy and ownership to propose and develop innovative projects. \#JOININDT About the Role: Serve as a Senior Data Analyst, responsible for structuring and evolving the data ecosystem in projects: modeling, ingestion, quality, governance, and analytics to support AI model development. In this role, you will be instrumental in transforming data into actionable insights, working end-to-end across the data lifecycle: defining metrics and sources, standardization, preparation, validation, publication, and consumption across analytical layers. We expect you to work independently, prioritize tasks based on impact, and collaborate with multidisciplinary teams to ensure consistency, reliability, and speed in decision-making. You will also contribute to best practices in documentation, governance, and continuous improvement, elevating the maturity of the data ecosystem. **Requirements:** **Education:** Sciences / Engineering / Data Processing and/or related fields Responsibilities and Duties Knowledge of Android OS; Execute manual test cases; Report bugs to the development team; Enjoy working in a team. Technical Competencies Desire to work in Software Testing and Quality Assurance; Knowledge of Software Testing methodologies; Familiarity with Agile methodologies (Scrum and Kanban); Technical English for reading, interpreting, and writing documents. Preferred Qualifications Experience in black-box testing; Intermediate or advanced English proficiency; Basic knowledge of mobile networks (4G, 5G); Knowledge of Linux OS; Desirable knowledge of automation; Testing certifications (e.g., CTFL). Behavioral Skills Openness to learning and working with new technologies; Strong communication and interpersonal skills; Initiative and proactivity; Collaborative mindset.


