Data Quality Analyst

Issue Management & Triage  :  Monitor & Triage: Track and categorize incoming business data quality issues submitted via ServiceNow, Jira, email, or Microsoft Teams. Lifecycle Management : Manage data incidents through their entire lifecycle, ensuring timely communication and SLA adherence. Data Investigation & Validation  :  Data Auditing: Perform cross-system data validation across modern cloud data warehouses (BigQuery, Azure Synapse, Amazon Redshift) and reporting dashboards. Root Cause Analysis : Investigate data mismatches, schema drift, incomplete transformations, and automated data quality rule violations. Issue Resolution : Independently execute runbook-driven remediation for recurring/known issues; gather full technical context to escalate complex incidents to data engineering teams. Documentation & Operational Excellence  :  Runbook Maintenance: Create, update, and maintain comprehensive standard operating procedures (SOPs), knowledge base articles, and runbooks. Process Improvement: Identify recurring data quality trends and suggest proactive monitoring or alerting improvements.   Problem-Solving : Proven ability to troubleshoot data discrepancies methodically and communicate findings clearly to both technical and non-technical stakeholders. Documentation : Strong technical writing skills for maintaining SOPs and incident root-cause reports