Data Conversion Analyst

Responsibilities

• Analyze source system data to identify anomalies, inconsistencies, and data quality issues.
• Develop and maintain detailed source-to-target and target-to-source mappings.
• Identify data gaps and determine appropriate remediation strategies.
• Support data cleansing, transformation, and validation activities throughout the conversion lifecycle.
• Perform reconciliation between legacy and target systems to ensure data accuracy and completeness.
• Collaborate with Business Analysts, SMEs, architects, and developers to define transformation rules and business logic.
• Document mapping decisions, transformation rules, validation results, and conversion processes.
• Participate in multiple conversion cycles and support continuous refinement of conversion results.
• Validate migrated data and support business sign-off activities.

Requirements

• 3+ years of experience supporting data migration, conversion, integration, or data quality initiatives.
• Experience developing source-to-target and target-to-source data mappings.
• Strong SQL Server experience (required).
• Strong understanding of relational database concepts, normalization, and database structures.
• Experience identifying and resolving data quality issues and "dirty data."
• Experience performing reconciliation and validation activities during migrations.
• Excellent documentation skills.
• Strong communication skills and ability to work with both business and technical stakeholders.

Preferred Qualifications

• Experience supporting large enterprise data conversion projects.
• Experience with Microsoft data technologies including Azure SQL, Azure Data Lake, or Microsoft Fabric.
• Experience working with data governance, lineage, and auditability requirements.