Data Quality Analyst

Issue Management & Triage

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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

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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

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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