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

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.