This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analista de Auditoria de Dados based in Brazil.
Join a data-focused role where you will help ensure the accuracy, consistency, and reliability of financial, operational, and management information.
You will work with large datasets, identifying inconsistencies, validating information, and supporting improvements to internal processes and controls.
The position combines analytical thinking with technology, offering opportunities to use spreadsheets, BI tools, SQL, and scripting to make audit routines more efficient.
Your work will contribute directly to stronger data governance and more reliable information for decision-making across different business areas.
You will collaborate transversally with multiple teams, gaining broad exposure to corporate processes and operational controls.
The role is well suited to someone who enjoys investigating discrepancies, understanding how processes work, and finding practical ways to prevent recurring issues.
If you are detail-oriented, analytical, and interested in using technology to improve data quality and business processes, this opportunity offers meaningful impact and professional development.
Accountabilities:
- Data auditing: Audit corporate financial, operational, and management databases to validate the accuracy, consistency, completeness, and reliability of the information used across the organization.
- Data validation: Analyze large volumes of data, cross-reference information from different sources, and identify inconsistencies, anomalies, or potential errors requiring investigation.
- Issue resolution: Investigate identified discrepancies and support the resolution of data inconsistencies, ensuring that corrections are properly addressed and information remains reliable.
- Process review: Review internal processes related to data generation, management, and validation, identifying weaknesses and recommending improvements to reduce recurring errors and systemic failures.
- Data governance: Work collaboratively with different business areas to strengthen data governance practices and promote greater consistency and reliability in corporate information.
- Decision-making support: Provide accurate and validated information that can support management analysis, operational decisions, and broader business planning.
- Automation: Develop and apply logical solutions, scripts, and automation techniques to optimize recurring data checks, audits, reconciliations, and validation activities.
- Continuous improvement: Identify opportunities to make audit and data-validation routines more efficient, scalable, and reliable through better processes and appropriate use of technology.
Requirements
- Education: Bachelor's degree in Administration, Accounting, Economics, Engineering, Information Systems, or a related field. Postgraduate or MBA education is also considered relevant.
- Spreadsheet expertise: Intermediate to advanced proficiency in Excel or Google Sheets, particularly for manipulating large datasets, creating pivot tables, performing reconciliations, and cross-referencing information.
- Data analysis: Strong analytical ability and attention to detail, with the capacity to identify patterns, inconsistencies, anomalies, and potential data-quality issues.
- BI tools: Familiarity with business intelligence tools such as Google Data Studio and an interest in using visualization and reporting technologies to analyze business information.
- Automation and programming: Knowledge of programming logic or scripting, particularly Apps Script and/or SQL, with the ability to apply automation to repetitive data and audit processes.
- Process orientation: Ability to understand business processes, identify control gaps, and propose practical improvements that reduce errors and increase operational efficiency.
- Communication and collaboration: Strong communication and interpersonal skills, with the ability to work effectively across different departments and translate analytical findings into clear recommendations.
- Problem-solving: A structured and investigative approach to solving problems, with the ability to work independently while maintaining accuracy and consistency.
- Relevant experience: Previous experience in internal audit, controllership, process analysis, financial controls, or a similar area is considered a strong advantage.
Benefits
- CLT employment: Formal employment under the Brazilian CLT regime.
- Competitive compensation: Monthly salary of R$ 2,526.00.
- Home-office support: Monthly home-office allowance of R$ 210.00.
- Meal benefits: VA/VR of R$ 28.96 per working day, plus a food allowance of R$ 183.41.
- Pharmacy benefit: Access to a pharmacy benefit through Flash.
- Birthday day off: A dedicated day off to celebrate your birthday.
- Corporate mobile phone: Company-provided cellular phone for professional activities.
- Education partnerships: Access to exclusive partnerships for MBA programs at USP/Esalq.
- Literary incentive: 60% discount on books and the opportunity to have one publication per year after completing the probationary period.
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!
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.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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