Pessoa Analista de Data Quality - Pleno

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Analista de Data Quality - Pleno based in Brazil.

This is an opportunity to work at the intersection of data quality, governance, and regulatory reporting.
You will help establish measurable standards and controls that strengthen the reliability of critical data.
The role involves translating regulatory requirements and business rules into practical quality frameworks.
You will analyze data sources, perform profiling, investigate inconsistencies, and identify root causes.
Working closely with business, regulatory, data, and technology teams, you will support continuous monitoring and remediation.
The position offers a collaborative environment where analytical thinking, clear documentation, and data-driven decision-making are highly valued.
It is well suited to a mid-level data professional who wants to contribute to robust and trustworthy data practices.

Accountabilities

• Analyze regulatory reports, data layouts, technical manuals, and business rules to understand quality requirements and control needs.

• Define data quality metrics across the 12 dimensions established by RC18, including KPIs, formulas, approval criteria, tolerances, and criticality levels.

• Map source data, transformations, reconciliations, and control points to establish traceability throughout reporting processes.

• Perform data profiling and investigate inconsistencies, gaps, anomalies, and root causes.

• Translate business and regulatory needs into functional requirements for implementing automated data quality rules.

• Support the definition of action plans and processes for addressing and resolving data quality deviations.

• Produce clear functional documentation and evidence demonstrating the execution and effectiveness of data quality controls.

• Collaborate with business, regulatory, data, and technology stakeholders to align requirements and promote continuous improvement.

Requirements

• Bachelor’s degree or equivalent higher education; candidates from different academic backgrounds are welcome.

• Previous experience in Data Quality and Data Governance.

• Practical experience with Data Quality, data catalog, or data observability tools.

• Ability to interpret data layouts, business rules, regulatory requirements, and reporting structures.

• Knowledge of SQL, with practical experience in data profiling and data reconciliation.

• Experience defining data quality metrics, indicators, validation criteria, and automated business rules.

• Strong analytical and problem-solving skills, with the ability to investigate inconsistencies and identify root causes.

• Excellent documentation and communication skills, with the ability to work effectively with both technical and business stakeholders.

• Organized, collaborative, and comfortable managing multiple priorities in a data-focused environment.

Benefits

• Remote work model.

• Flexible benefits that can be adapted to individual needs and life circumstances.

• Medical and dental insurance.

• Life insurance.

• Pet healthcare partnership.

• Meal and/or food allowance.

• Mobility benefits, including fuel and ride-hailing options such as Uber and 99.

• Flexible reimbursement for expenses such as glasses, vaccinations, education, entertainment, and other eligible items.

• Annual bonus program.

• Birthday day off.

• Gympass/Wellhub access.

• Financial consulting and facilitated loan options.

• Discounts through Clube Alelo at participating stores and pharmacies.

• Extended maternity leave of 180 days.

• Paternity leave of 30 days.

• Childcare assistance during the baby's first year.

• Transportation allowance according to project or business needs.

• Learning and development opportunities through global training programs, courses, mentoring, and professional development initiatives.

• Regular performance reviews, feedback, one-to-ones, and personalized development planning.

• Opportunities to participate in projects across different industries and business environments.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1