Nymbus (https://nymbus.com/) isn’t just a leader in fintech; we’re a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

We operate with an AI-first mindset across our business, continuously improving how we work and the value we deliver to our clients. Our culture is grounded in collaboration, accountability, and a strong commitment to execution.

The journey to growth begins with doing something different, and that journey starts with the talented people who make Nymbus successful. Thank you for considering Nymbus as the catalyst for the next chapter of your career.

WORK ENVIRONMENT

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team planning sessions, or project activities. Working hours primarily align with the Eastern Time Zone; candidates located in the Eastern or Central time zones are preferred.

POSITION SUMMARY

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit unions implementing the Nymbus Core platform. This includes analyzing source data from donor core systems, defining data requirements, mapping and transforming data, validating conversion results, and helping ensure data is accurate and complete before each go-live milestone.

This is a client-facing, hands-on role for someone who is naturally curious, analytical, and motivated to solve complex data challenges. The Data Migration Analyst will contribute directly to multiple conversion engagements while helping Nymbus develop reusable migration standards, documented conversion patterns, and AI-assisted tools that improve speed, accuracy, and scalability.

The successful candidate will be comfortable performing detailed conversion work while also identifying opportunities to automate manual processes, improve validation workflows, and advance the way data migration is delivered at Nymbus.

ESSENTIAL JOB FUNCTIONS/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.