Data Migration Analyst

Summary

Nymbus is a leader in fintech, focused on reimagining banking through innovative technology. The Data Migration Analyst plays a crucial role in the data migration lifecycle for banks and credit unions, ensuring data accuracy and completeness during the implementation of the Nymbus Core platform.

Responsibilities

• Build and maintain data requirements for migrating source data from donor core systems into the Nymbus Core platform
• Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data
• Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming
• Verify conversion output against client source data, documented specifications, business requirements, and approved transformation rules
• Test and validate converted data using reporting tools, reconciliation processes, quality assurance checks, and exception analysis
• Identify data quality issues, transformation errors, and anomalies that could affect conversion accuracy, completeness, or readiness
• Lead and participate in client discussions involving source data structures, business rules, mapping decisions, conversion results, and issue resolution
• Collaborate with client project teams, internal delivery consultants, technical teams, and other stakeholders to ensure timely and effective implementation of Nymbus software and services
• Support multiple concurrent conversion engagements by coordinating priorities, managing time-sensitive deliverables, and completing assigned work with minimal supervision
• Design, build, and improve AI-assisted tools and automations that accelerate data migration activities, reduce manual effort, and improve consistency
• Explore opportunities to automate field-mapping recommendations across commonly encountered donor core systems
• Develop tools and processes that help identify data anomalies during transformation and streamline validation activities that currently require significant manual intervention
• Document conversion patterns, source-system knowledge, data-mapping standards, transformation rules, validation procedures, and reusable frameworks
• Contribute to a shared body of institutional knowledge that improves consistency, reduces ramp time, and increases team resilience across future conversions
• Recommend improvements to data migration processes, tools, standards, and quality controls based on lessons learned from conversion engagements
• Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when required to support critical conversion and go-live activities

Skills

• 2+ years of experience in financial services, preferably with hands-on experience in data conversion, data migration, ETL, conversion programming, or software development within a core banking or fintech environment
• Proficiency in SQL and experience using SQL to analyze, map, transform, reconcile, or validate data
• Familiarity with additional programming or scripting languages is strongly preferred
• Experience interpreting technical specifications, source-data structures, transformation rules, and business requirements
• Understanding of banking data and operations, including deposit accounts, loan products, retirement accounts, consumer demographics, general ledger or financial reporting structures, banking regulations, and personally identifiable information policies
• Experience with data validation, reconciliation, reporting, exception analysis, or quality assurance processes
• Genuine curiosity about artificial intelligence and a demonstrated interest in building tools, automations, or improved workflows that make analytical work faster and more reliable
• Strong analytical and problem-solving skills, with the ability to investigate complex data issues and drive them through resolution
• Strong written and verbal communication skills, including the ability to explain technical data concepts to clients and cross-functional stakeholders
• Ability to manage multiple priorities and deliver accurate work within time-sensitive project schedules
• Self-directed, process-oriented, and highly attentive to detail
• Experience supporting core banking conversions or migrations from commonly used donor core platforms
• Experience developing reusable data-mapping frameworks, validation utilities, reporting tools, or workflow automations
• Familiarity with AI-assisted development tools, large language models, machine learning applications, or automated anomaly-detection approaches
• A continuous-improvement mindset and an interest in helping define the future of AI-assisted data migration at Nymbus

Qualifications

Must Haves

• 2+ years of experience in financial services, preferably with hands-on experience in data conversion, data migration, ETL, conversion programming, or software development within a core banking or fintech environment
• Proficiency in SQL and experience using SQL to analyze, map, transform, reconcile, or validate data
• Familiarity with additional programming or scripting languages is strongly preferred
• Experience interpreting technical specifications, source-data structures, transformation rules, and business requirements
• Understanding of banking data and operations, including deposit accounts, loan products, retirement accounts, consumer demographics, general ledger or financial reporting structures, banking regulations, and personally identifiable information policies
• Experience with data validation, reconciliation, reporting, exception analysis, or quality assurance processes
• Genuine curiosity about artificial intelligence and a demonstrated interest in building tools, automations, or improved workflows that make analytical work faster and more reliable
• Strong analytical and problem-solving skills, with the ability to investigate complex data issues and drive them through resolution
• Strong written and verbal communication skills, including the ability to explain technical data concepts to clients and cross-functional stakeholders
• Ability to manage multiple priorities and deliver accurate work within time-sensitive project schedules
• Self-directed, process-oriented, and highly attentive to detail

Nice to Haves

• Experience supporting core banking conversions or migrations from commonly used donor core platforms
• Experience developing reusable data-mapping frameworks, validation utilities, reporting tools, or workflow automations
• Familiarity with AI-assisted development tools, large language models, machine learning applications, or automated anomaly-detection approaches
• A continuous-improvement mindset and an interest in helping define the future of AI-assisted data migration at Nymbus

Benefits

• Annual Cash Bonus and Equity Options commensurate with the role level and experience
• 100% Remote
• 401(k) plan
• Insurance - Health, Dental and Vision
• Paid Time Off