Data Quality Analyst – Ensure Accurate Business Intelligence

About the role

We are seeking a hands‑on Data Quality Analyst to ensure the accuracy, consistency and reliability of data displayed in dashboards, reports and digital applications. You will act as the quality gate, validating business‑critical data before it reaches end users and supporting data‑driven decision‑making.

Key responsibilities

• Validate data shown 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 reporting platforms.
• Validate business rules and confirm figures align with approved definitions.
• Identify data discrepancies, investigate inconsistencies and log issues.
• Support User Acceptance Testing for dashboards, reports, chatbots and other analytical products.
• Collaborate 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.

Required profile

• 3‑5 years of experience in data quality, business intelligence, analytics or reporting assurance.
• Hands‑on experience validating dashboards, reports or BI solutions.
• Strong analytical skills with exceptional attention to detail.
• Ability to communicate data issues clearly to technical and business stakeholders.
• Strong sense of ownership and commitment to data accuracy.

Required skills

• SQL for data validation, reconciliation and comparison.
• Experience with Power BI, Tableau or similar reporting platforms.
• Understanding of KPIs, metrics, business rules and calculation logic.
• Familiarity with enterprise data sources such as ERP, CRM or HCM systems.