Data Quality Analyst

We're looking for a hands‑on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.

You'll play a key role in validating business‑critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.

• 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

• 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
• Strong sense of ownership and commitment to data accuracy

• Validating analytics for web or mobile applications
• Government or enterprise reporting environments
• Data governance, reporting standards, or data quality frameworks
  
  Supporting executive-level reporting