Data Quality Analyst

Responsibilities

• Validate data displayed across dashboards, reports, web, and mobile applications
• Reconcile source data, transformed datasets, and final analytical outputs
• Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports
• Ensure consistency of metrics across multiple dashboards and reporting platforms
• Validate business rules and ensure reported figures align with approved definitions
• Identify data discrepancies and investigate inconsistencies before release
• Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products
• Act as the quality gate before dashboards and reports are released to end users
• Log, track, and support the resolution of data quality issues
• Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues
• Maintain documentation for reconciliation rules, report logic, and validation processes
• Contribute to improving reporting standards, validation checklists, and quality practices

Requirements

• 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance
• Hands-on experience validating dashboards, reports, or business intelligence solutions
• Strong SQL skills for data validation, reconciliation, and comparison
• Experience working with Power BI, Tableau, or similar reporting platforms
• Strong understanding of KPIs, metrics, business rules, and calculation logic
• Experience working with enterprise data sources such as ERP, CRM, or HCM systems
• Excellent analytical skills with exceptional attention to detail
• Ability to communicate data issues clearly to both technical and business stakeholders

Preferred Qualifications

• Experience validating analytics for web or mobile applications
• Experience in government or enterprise reporting environments
• Knowledge of data governance, reporting standards, or data quality frameworks
• Experience supporting executive-level reporting