Senior System Analyst

• Analyze legacy mainframe applications, batch processes, data flows, and business rules.
• Gather, document, and validate business, functional, and technical requirements.
• Reverse engineer undocumented business logic and create clear, testable specifications.
• Develop data mappings, process flows, reconciliation documentation, and operational runbooks.
• Design and develop Oracle PL/SQL solutions supporting data conversion, migration, and reconciliation.
• Extract, analyze, and validate data from DB2 and mainframe environments.
• Support ETL, data migration, testing, reconciliation, and production cutover activities.
• Collaborate with business, vendor, development, ETL, and QA teams throughout delivery.
• Provide leadership and mentorship on systems analysis and legacy modernization initiatives.

We are seeking a Senior Systems Analyst with 10+ years of experience in mainframe systems, data integration, and legacy modernization to support application analysis, data migration, and modernization initiatives across Oracle and cloud platforms., * 10+ years of experience in systems analysis, mainframe development, data integration, or enterprise application support.

• 7+ years of experience with COBOL and/or PL/I, JCL, DB2 for z/OS, batch processing, VSAM, and GDG environments.
• 5+ years of experience in legacy system analysis, including business rule discovery, impact analysis, dependency mapping, reverse engineering, and requirements documentation.
• 5+ years of experience with Oracle PL/SQL, including stored procedures, bulk processing, SQL optimization, and performance tuning.
• 3+ years of experience supporting ETL, data migration, reconciliation, source-to-target mapping, and batch processing initiatives.
• 3+ years of experience with Control-M, SFTP, SQL*Loader, or similar data integration and scheduling tools.
• Demonstrated leadership, mentoring, stakeholder management, documentation, and Agile/Scrum delivery experience.

Preferred Qualifications

• Experience migrating mainframe applications and data to Oracle, Azure, or other cloud platforms.
• Experience with Informatica or similar ETL tools.
• Experience with EBCDIC conversion, packed decimal processing, fixed-width files, and legacy data structures.
• Experience with utPLSQL, Java, Spring Boot, and REST APIs.
• Experience in financial services, retirement, benefits administration, wealth management, or brokerage domains.
• Strong analytical, problem-solving, and communication skills.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $80,000-115,000 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.