Key Responsibilities:

Data Quality Execution & Support:

- Support data quality assessments across RWD pipelines, source data, harmonized datasets, and client deliverables under guidance from senior team members.

- Assist with investigating data quality issues and escalating findings following defined procedures.

- Analyze data anomalies using SQL queries, dashboards, and pipeline logs to help identify potential root causes.

- Document findings and contribute to remediation actions and follow-up validation.

Quality Checks & Continuous Monitoring:

- Execute and maintain existing data quality checks at ingestion, harmonization, and delivery stages.

- Assist in implementing new quality checks designed by senior team members or engineering.

- Monitor data quality metrics and alerts, flagging deviations from expected thresholds.

- Help identify recurring issues and contribute observations for process improvements.

Cross-Functional & Vendor Support:

- Work with data engineers, analysts, product, and delivery teams to help resolve data quality issues.

- Support validation of external vendor data by checking logic, completeness, and refresh consistency.

- Assist internal teams during data changes, enhancements, or refresh cycles.

- Help respond to data questions from client-facing teams by gathering evidence and documentation.

Communication & Documentation:

- Clearly document data quality investigations, findings, and resolution steps.

- Maintain investigation notes, issue trackers, and supporting documentation.

- Contribute updates to SOPs, data dictionaries, and internal knowledge resources as assigned.

- Assist with internal data release notes related to data product updates.