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

🏢 CI&T · all CI&T jobs
📍 Brazil
📅 Posted 2026-09-03 · via Himalayas
🏷 Data-Developer,Data-Analyst,Data-Governance-Analyst,Data-Steward,AI-Data-Curation-Specialist,AI-Governance,Data-Analytics-Developer
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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.

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