Senior Data Analyst (Data Quality & Reporting), Brazil

Define and run data quality checks and reconciliation logic against the curated data layer, comparing results to approved Finance benchmarks and closed accounting periods.

Validate migrated and re-pointed reports and dashboards for parity against their prior legacy-source output, including parallel-run comparisons during cutover — running old and new side by side and confirming they tie out within agreed tolerance.

Profile and investigate data quality issues and reconciliation variances, working with Data Engineering to identify and document root cause.

Build and maintain data quality dashboards/reports in Power BI (or the equivalent BI tool) so quality status and known variances stay visible to Finance and delivery stakeholders on an ongoing basis.

Partner with Finance and business stakeholders to define acceptance criteria and quality thresholds for each reporting deliverable.

Produce the acceptance evidence — reconciliation results, parallel-run comparisons, sign-off packages — required at each delivery gate, including the cutover gate.

Document data quality rules and known issues in a form the client's own team can maintain post-handoff.

Solid experience as a data analyst or BI analyst, with strong hands-on SQL for querying, validating, and reconciling data.

Hands-on experience building or validating reports/dashboards in Power BI or a comparable enterprise BI tool.

Experience with a data-quality or reconciliation framework or methodology (e.g. dbt tests, Great Expectations, or a structured manual reconciliation practice).

Comfortable working with financial/accounting data and closed-period reconciliation constraints.

• Strong attention to detail and clear written documentation of data quality findings.

Fluent English (B2) — coordinates quality findings and evidence directly with client stakeholders at delivery gates.

Experience with financial/GL reporting domains (chart of accounts, dimensions, close process).

Experience validating report or dashboard migrations off a legacy source system onto a new platform.

• Experience with a cloud data warehouse (Snowflake preferred).
• Experience in mortgage, lending, or financial-services reporting.