Data Migration Analyst
Job #: 25-05287
Pay Rate: Not Specified
Job type: contractor
Location: St Louis, MO
Pay Rate: Not Specified
Job type: contractor
Location: St Louis, MO
Job Summary:
Highly experienced Senior Data Analyst / Migration Specialist. Candidate will have extensive experience in Healthcare data migration, strong expertise in SQL, and a deep understanding of claims processing and healthcare data structures. This role requires collaboration with business users, creating attribute mapping specifications, and assisting in User Acceptance Testing (UAT).
Key Responsibilities:
• Lead and support data migration initiatives.
•Analyze and understand patient and claim data structures to ensure smooth migration.
• Develop SQL queries for data extraction, transformation, and validation.
• Create Attribute Mapping Specifications to define how data fields are mapped between systems.
• Collaborate with business users to gather requirements and translate them into technical solutions.
• Support UAT efforts, assisting users in validating migrated data and identifying potential issues.
• Ensure data integrity and accuracy during the migration process.
• Work closely with developers, testers, and other stakeholders to facilitate a successful transition.
Required Skills & Experience:
• 8+ years of experience working on data migration projects.
• Recent experience years of experience working on data migration projects in Healthcare Domain (Payors and Providers)
• Strong expertise in SQL for data analysis and transformation.
• In-depth understanding of claims processing and healthcare data structures.
• Experience in creating attribute mapping specifications for system migration.
• Ability to analyze and interpret patient and claim data models.
• Strong collaboration skills to work with business users and technical teams.
• Experience supporting UAT processes and troubleshooting data issues.
• Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
• Experience with ETL tools and data migration frameworks.
• Knowledge of healthcare compliance standards (HIPAA, HL7, etc.).
• Exposure to cloud platforms like AWS, Azure, or GCP.
Highly experienced Senior Data Analyst / Migration Specialist. Candidate will have extensive experience in Healthcare data migration, strong expertise in SQL, and a deep understanding of claims processing and healthcare data structures. This role requires collaboration with business users, creating attribute mapping specifications, and assisting in User Acceptance Testing (UAT).
Key Responsibilities:
• Lead and support data migration initiatives.
•Analyze and understand patient and claim data structures to ensure smooth migration.
• Develop SQL queries for data extraction, transformation, and validation.
• Create Attribute Mapping Specifications to define how data fields are mapped between systems.
• Collaborate with business users to gather requirements and translate them into technical solutions.
• Support UAT efforts, assisting users in validating migrated data and identifying potential issues.
• Ensure data integrity and accuracy during the migration process.
• Work closely with developers, testers, and other stakeholders to facilitate a successful transition.
Required Skills & Experience:
• 8+ years of experience working on data migration projects.
• Recent experience years of experience working on data migration projects in Healthcare Domain (Payors and Providers)
• Strong expertise in SQL for data analysis and transformation.
• In-depth understanding of claims processing and healthcare data structures.
• Experience in creating attribute mapping specifications for system migration.
• Ability to analyze and interpret patient and claim data models.
• Strong collaboration skills to work with business users and technical teams.
• Experience supporting UAT processes and troubleshooting data issues.
• Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
• Experience with ETL tools and data migration frameworks.
• Knowledge of healthcare compliance standards (HIPAA, HL7, etc.).
• Exposure to cloud platforms like AWS, Azure, or GCP.