[Job - 31415] Data Developer / Data Analyst, Brazil

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are looking for a **Mid-Level Data Developer / Data Analyst** to join our team supporting a **Data & AI Governance practice** for one of our clients. In this role, you will work with data analysis and governance initiatives, helping to ensure that data is well-organized, properly documented, accessible, and managed according to established standards and policies. This is a great opportunity for someone with a strong analytical mindset who enjoys working with data, governance concepts, and cross-functional teams, and who is interested in contributing to the development and maturity of a Data & AI Governance practice. ## Responsibilities - Support the implementation and evolution of **Data & AI Governance** practices. - Perform data analysis to support governance initiatives and business needs. - Work with data catalogs, glossaries, business terms, datasets, attributes, and data lineage. - Support **data curation and stewardship** activities, ensuring data is properly organized, documented, and maintained. - Help define and maintain data governance policies, standards, and processes. - Collaborate with different stakeholders to understand data requirements and improve data quality and usability. - Analyze and document data-related information and identify opportunities for improvement. - Use Python to support data analysis, automation, and data-related activities. - Contribute to the continuous improvement of data governance processes and practices. - Work collaboratively with technical and business teams to ensure alignment between data governance and business needs. ## Technical Requirements ### Data Analysis - Experience with **Data Analysis** and working with structured data. - Ability to analyze, interpret, and communicate data-related information. - Strong analytical and problem-solving skills. ### Data Governance Experience with Data Governance concepts, such as: - Data Catalogs - Data Policies - Data Glossaries - Business Terms - Data Sets - Data Attributes - Data Lineage - Data Quality - Data Ownership and Stewardship ### Programming - **Python** programming skills. - Experience using Python for data analysis, manipulation, or automation. ### Data Stewardship & Curation - Experience with **Data Stewardship** activities. - Experience with **Data Curation**, documentation, organization, and maintenance of data assets. - Understanding of data lifecycle and data management practices. ## Requirements - Proven experience as a **Data Analyst, Data Developer, Data Governance Analyst**, or similar role. - Solid understanding of **Data Governance** concepts and practices. - Hands-on experience with data analysis and data-related documentation. - Experience working with data catalogs, business terms, metadata, datasets, attributes, or data lineage. - Python programming experience. - Strong analytical and problem-solving skills. - Good communication and collaboration skills. - Ability to work with both technical and business stakeholders. - Proactive mindset and willingness to contribute to the development of new processes and practices. ## Nice to Have - Experience working in **Data & AI Governance** initiatives. - Experience with Data Governance or Data Management tools. - Knowledge of Data Quality frameworks and practices. - Experience working in an international or multicultural environment. - Experience supporting the implementation or improvement of Data Governance frameworks. ## Why Join Us? You’ll have the opportunity to work on a **Data & AI Governance initiative**, contributing to the establishment and evolution of governance practices while working with an international team and gaining exposure to a strategic and growing area within the data landscape.