Senior Data Analyst (Data Quality & Reporting)
New
J
JobgetherFinance IT
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English (approximately B2 level)
- Required Skills
- SQLMicrosoft Power BI
Requirements
- Solid professional experience as a Data Analyst, BI Analyst, or in a closely related analytical role.
- 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.
Responsibilities
- 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.
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