Senior Data Analyst (Data Quality & Reporting)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Data Quality & Reporting) based in Brazil.
This role focuses on ensuring the accuracy, consistency, and reliability of data and reporting within a large-scale Finance data platform modernization. You will validate curated data against trusted Finance benchmarks and confirm that migrated reports and dashboards deliver results consistent with established sources. The position combines strong SQL expertise, data quality analysis, reconciliation, and enterprise BI reporting. You will investigate variances, identify root causes, and work closely with Data Engineering and Finance stakeholders to resolve data issues. You will also create visible quality reporting and provide evidence needed for key delivery and cutover milestones. The role is highly focused on the data and numbers rather than pipeline infrastructure, making analytical rigor and attention to detail essential. You will contribute directly to building confidence in modernized financial data and reporting.
Accountabilities
Define and execute data quality checks and reconciliation logic against curated data layers, comparing results with approved Finance benchmarks and closed accounting periods.
Validate migrated, re-pointed, and modernized reports and dashboards against legacy-source outputs, including parallel-run comparisons to confirm that old and new systems reconcile within agreed tolerances.
Profile data, investigate quality issues and reconciliation variances, and collaborate with Data Engineering teams to identify, document, and resolve root causes.
Build and maintain data quality dashboards and reports using Power BI or an equivalent enterprise BI platform, ensuring quality status, findings, and known variances remain visible to Finance and delivery stakeholders.
Partner with Finance and business stakeholders to define acceptance criteria, reconciliation requirements, and quality thresholds for individual reporting deliverables.
Produce acceptance evidence for delivery gates, including reconciliation results, parallel-run comparisons, validation documentation, and sign-off packages required for successful cutover.
Document data quality rules, validation approaches, known issues, and supporting processes in a clear format that can be maintained by the client’s internal team after handoff.
Apply structured data analysis and reconciliation practices to ensure reporting outputs are accurate, complete, consistent, and aligned with established financial expectations.
Requirements
Solid professional experience as a Data Analyst, BI Analyst, or in a closely related analytical role, with strong hands-on SQL skills for querying, validating, investigating, and reconciling data.
Hands-on experience building, validating, or maintaining reports and dashboards in Power BI or a comparable enterprise BI platform.
Experience applying a data quality or reconciliation framework or methodology, such as dbt tests, Great Expectations, or structured manual reconciliation practices.
Comfortable working with financial and accounting data, including the constraints and validation requirements associated with closed accounting periods.
Strong understanding of data validation, reconciliation, data profiling, reporting accuracy, and issue investigation.
Strong attention to detail, analytical thinking, and ability to identify discrepancies and clearly document findings, root causes, and resolution requirements.
Strong written and verbal communication skills, with the ability to present quality findings and supporting evidence to business and client stakeholders.
Fluent English at approximately B2 level, with confidence coordinating quality findings, validation results, and delivery evidence directly with international stakeholders.
Experience with financial or general ledger reporting domains, including charts of accounts, financial dimensions, and close processes, is a strong advantage.
Experience validating report or dashboard migrations from legacy source systems to modern data platforms is highly valued.
Experience with cloud data warehouses, particularly Snowflake, is an advantage.
Previous experience in mortgage, lending, banking, or broader financial-services reporting is a plus.
Benefits
Fully remote position based in Brazil.
Opportunity to contribute to a large-scale Finance data platform modernization initiative.
Exposure to data quality, financial reporting, reconciliation, BI, and modern cloud data environments.
Opportunity to work with enterprise-scale data and reporting processes supporting complex financial operations.
Collaboration with Finance, Data Engineering, business, and delivery stakeholders across a major transformation initiative.
Health and dental insurance.
Meal and food allowance.
Childcare assistance and extended paternity leave.
Life insurance and access to health and wellness partnerships.
Profit Sharing and Results Participation (PLR).
Access to continuous learning through a dedicated professional development platform and additional online learning partnerships.
Language learning resources and opportunities for ongoing professional development.
Access to physical, mental, and overall well-being programs.
Discount programs and additional employee benefits.
Inclusive working environment with dedicated health, well-being, and inclusion support.
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.
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.

Work arrangement
Yes