Data Migration Analyst

Integral•Tysons, VA
•$130,000 - $140,000

About The Position

The Data Migration Analyst translates legacy BOSS-E, MBMS, and related data into approved VA-EISS source-to-target mappings, business rules, and reconciliation criteria. The role uses AI-assisted analysis only where authorized by the VA and validates generated mappings and SQL against authoritative records to support VA-EISS modernization.

Requirements

  • Bachelor’s degree in computer science or an IT-related field and 3–6 years of experience; additional years of experience may substitute for a degree for the right candidate.
  • Strong SQL, data profiling, source-to-target mapping, data quality, and reconciliation experience.
  • Experience interpreting complex legacy relational data and translating business rules into testable conversion specifications.
  • Ability to independently validate AI-generated mappings, SQL queries, and analytical results against source evidence.
  • Strong facilitation skills with technical and business stakeholders.
  • Public Trust.

Nice To Haves

  • Experience with BOSS-E, MBMS, EISS, or cemetery/memorial case data, and Oracle, Salesforce, or SQL Server data structures.
  • Experience with large-scale federal data migration, record retention, and personally identifiable information controls.
  • Python, data catalog or lineage methods, and approved AI-assisted data analysis.

Responsibilities

  • Profile legacy data and document source-to-target field mappings, lineage, reference codes, relationships, and exceptions for VA-EISS conversion.
  • Collaborate with NCA subject matter experts, Functional Architects, developers, and data engineers to confirm data meaning, retention, and migration acceptance rules.
  • Review AI-generated mapping drafts, profiling SQL, and reconciliation scripts for correctness, completeness, and unsupported assumptions.
  • Define and execute data quality checks, sampling, exception queues, and migration rehearsal acceptance criteria.
  • Track mapping decisions and data defects, and verify converted records and audit evidence with the pod QA engineer.

Benefits

  • Paid parental leave
  • Immediate vesting in the 401(k)
  • Medical, dental, and vision insurance
  • Flexible spending accounts
  • Short-term and long-term disability insurance
  • Life insurance
  • Paid time off and holidays
  • Earned bonuses and awards
  • Professional training reimbursement
  • Employee Assistance Program
  • Potential eligibility for overtime, shift differential, and/or discretionary bonuses
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