Data Migration Analyst

🕒 August 4

🇺🇸 United States – Remote

💵 $110k - $125k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

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Nymbus

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

🏦 Banking

Consulting • Marketing • Banking

Nymbus is a technology company that provides modern banking solutions tailored for banks and credit unions. It offers a robust core banking platform that facilitates the launch of digital banking services and retail strategies, enabling institutions to innovate rapidly while ensuring compliance and operational efficiency. Through its suite of services, including onboarding, digital banking tools, and managed services, Nymbus empowers financial institutions to enhance customer experience and drive growth in a competitive landscape.

📋 Description

• 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 affecting 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 support 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, reduce manual effort, and improve consistency • Explore automation opportunities for field-mapping recommendations across donor core systems • Develop tools and processes to identify transformation anomalies and streamline validation activities • Document conversion patterns, source-system knowledge, data-mapping standards, transformation rules, validation procedures, and reusable frameworks • Contribute to institutional knowledge that improves consistency, reduces ramp time, and increases team resilience • Recommend improvements to data migration processes, tools, standards, and quality controls • Maintain a flexible schedule allowing occasional travel, weekend work, or holiday work for critical conversion and go-live activities

🎯 Requirements

• 2+ years of experience in financial services, preferably involving data conversion, data migration, ETL, conversion programming, or software development in core banking or fintech • Proficiency in SQL for analyzing, mapping, transforming, reconciling, or validating 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 interest in building tools, automations, or improved workflows • Strong analytical and problem-solving skills • Strong written and verbal communication skills, including explaining 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

🏖️ 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