Systems Analyst Data Analysis & Conversion
Role details
Job location
Tech stack
Job description
Data Analysis & Conversion:
Lead end-to-end data conversion strategy (mapping, transformation, reconciliation)
Manage mock conversions and ensure migration readiness
Perform data validation, integrity checks, and reconciliation
Analyze large datasets to identify discrepancies and anomalies
Develop SQL/Teradata queries for validation and reporting
Document conversion rules, crosswalks, and transformation logic
Ensure data meets business, audit, and regulatory standards
Collaborate with ETL teams, architects, and business stakeholders
Optimize conversion performance and migration processes
Requirements
Strong experience in Data Conversion & Data Analysis
Expertise in mapping, ETL processes, validation, and reconciliation
Proven Agile testing experience (functional, integration, regression)
Hands-on experience with MMIS or large-scale claims processing systems
Strong SQL / Teradata query development skills
Experience working with large datasets and complex data environments
Technical Skills:
Teradata (must-have)
Mainframe & DB2 testing (preferred)
Azure DevOps or similar test management tools
Strong experience in Defect Management & UAT coordination, Prior experience with Conduent (MMIS projects)
Strong healthcare claims domain expertise, Strong analytical and problem-solving abilities
Excellent communication and stakeholder management
Ability to work independently and meet deadlines, Strong in data conversion + testing (both hands-on)
Experience in MMIS / Healthcare Claims systems is critical
Ability to handle end-to-end data migration + QA lifecycle
