Senior Data Quality Analyst
First seen by Alion on Aug 20, 2026.
Job Description :
We are seeking an experienced Senior Data Quality Analyst to join our Enterprise Data team.
This role is responsible for ensuring the integrity, consistency, and accuracy of business-critical data across multiple enterprise applications.
The ideal candidate is someone who enjoys investigating complex data issues, performing deep data analysis using SQL, identifying the root causes of inconsistencies, and collaborating with both business and technical teams to ensure enterprise data remains accurate and reliable.
This is a highly analytical role that requires strong SQL expertise, exceptional attention to detail, and the ability to understand how data flows between multiple enterprise systems.
Key Responsibilities :
1. Enterprise Data Investigation :
- Perform detailed analysis of business data across multiple enterprise systems, vendor data sources, and operational databases.
- Compare records across systems to identify inconsistencies, missing records, duplicate records, incorrect mappings, and synchronization failures.
- Investigate discrepancies related to customer information, product information, shipment dates, invoice dates, warranty dates, pricing, serial numbers, and other business-critical data elements.
- Understand relationships between different enterprise applications and identify where incorrect data originates.
2. SQL-Based Data Analysis :
- Write complex SQL queries to analyze large datasets and compare information between multiple databases.
- Perform data reconciliation between various systems of record.
- Build reusable SQL scripts for data validation and reconciliation.
- Analyse historical data trends to identify recurring data quality issues.
- Validate database changes after updates, scripts, or production deployments.
- Work with large transactional datasets while ensuring query efficiency and performance.
3. Data Quality & Root Cause Analysis :
- Investigate data anomalies reported by Sales Operations, Business Teams, Customer Support, and other stakeholders.
- Perform root cause analysis to determine whether issues originate from source systems, integration failures, ETL processes, vendor data, user input, database scripts, or business process gaps.
- Document findings and recommend corrective actions.
- Ensure that data quality issues are permanently resolved rather than repeatedly corrected.
4. Vendor Data Validation :
- Analyze vendor-provided files and compare them with enterprise application data.
- Verify that integrations correctly update the BOM application.
- Identify records that fail validation during imports.
- Work with integration teams to resolve mapping and transformation issues.
- Validate incoming files before and after processing.
5. Data Reconciliation :
- Ensure all enterprise systems maintain consistent and synchronized information.
- Produce reconciliation reports highlighting mismatches and recommended actions.
6. Quality Assurance :
- Execute data validation before production deployments.
- Validate data after SQL scripts are executed.
- Verify production fixes.
- Ensure business users receive accurate data after updates.
- Support regression validation for data-related changes.
7. Stakeholder Collaboration :
- Work closely with Sales Operations, Business Users, Data Engineering, Database Administrators, Integration Teams, and Application Development Teams.
- Gather business context behind reported issues.
- Present investigation findings and recommend appropriate corrective actions.
- Translate technical findings into business-friendly language.
8. Documentation & Reporting :
- Document investigation results and root cause findings.
- Maintain reconciliation reports.
- Prepare validation reports after database updates.
- Document recurring issues and recommend long-term improvements.
- Maintain data quality metrics and trend analysis.
Requirements :
Preferred Experience :
- 5 to 6+ years of experience in Data Analysis or Data Quality.
- Strong experience with SQL Server or other enterprise relational databases.
- Experience working with CRM, ERP, EDW, or enterprise operational systems.
- Experience supporting Sales Operations or Order Management functions.
- Familiarity with ETL and enterprise data integration processes.
- Exposure to Power BI for validating and consuming data is an advantage, though this is not a dashboard development role.
Key Competencies :
- Exceptional analytical and investigative skills.
- Strong attention to detail.
- Ability to solve complex data problems independently.
- Excellent communication and stakeholder management skills.
- Strong ownership and accountability.
- Ability to prioritize multiple investigations in a fast-paced environment.
- Continuous improvement mindset focused on enhancing data quality and governance.
Skills
SQL, Data Quality, ETL, SQL Server, CRM, Power BI