Perform routine and ad‑hoc data integrity checks on automated, AI‑generated, and digitized datasets
Validate data against source documentation, defined business rules, and quality standards
Identify, document, and categorize data discrepancies and integrity issues
Maintain clear documentation, validation evidence, and issue logs to support remediation efforts
Provide data examples and findings to senior analysts or governance partners to support root‑cause analysis
Monitor data corrections, verify resolution, and ensure issues are closed appropriately
Participate in calibration activities to ensure consistent application of quality and integrity standards across reviewers
Assist in maintaining data integrity procedures, validation checklists, and reference documentation
Collaborate with technical and business teams to clarify data requirements and understand upstream processes affecting data quality.

Bachelor’s degree in Information Systems, Data Analytics, Business, or a related field or equivalent experience
4+ years of relevant experience in data quality, data validation, data operations, or analytical roles
Experience reviewing system‑generated, automated, or AI‑enabled data outputs
Strong attention to detail and consistency when applying validation rules and standards
Ability to interpret source documents, follow defined procedures, and accurately document observations
Clear written communication for documenting issues and summarizing findings
Ability to work collaboratively with data, technical, and business stakeholders
Comfort escalating anomalies and seeking guidance when needed.

Data Integrity Analyst

Key skills