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Posted 29 July, 2026

HBITS-08-14896-Business Analyst-Senior

Knowledge Builders Llc
New York, NY, US Full Time

Job Description

Job Description
Project/Program:

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Workday implementation

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We are seeking a meticulous Data Conversion Validator to support our Budget team during the migration of budgeting and commitment control data from PeopleSoft to Workday.

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Day-to-Day:

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• Perform record-by-record reconciliation, aggregate totals validation, and exception identification to ensure no data loss or corruption during the PeopleSoft-to-Workday migration
\n • Refine data crosswalks showing PeopleSoft field equivalents, data type conversions, formula translations, and Workday FDM integration points
\n • Identify data quality issues, unmapped fields, transformation failures, and process deviations between legacy and target systems
\n • Review and validate how PeopleSoft budget data integrates into Workday via Financial Data Model, ensuring compliance with FDM schema requirements
\n • Document validation findings and remediation steps. Prepare detailed validation reports with exception logs, root cause analysis, and recommended corrective actions for data issues
\n • Support UAT and sign-off activities & Collaborate with Budget team members and project stakeholders to validate reconciliation results and certify readiness for go-live

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Mandatory Requirements:

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Business Analyst - Analyzes an organization or business domain (real or hypothetical) and documents its business or processes or systems, assessing the business model or its integration with technology with distinct deliverables to a solution.

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Senior - 60 - 84 months: Candidate is able to work independently, without assistance and provides guidance to others. May have an advanced education.

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Requested Requirements:

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- 72 months experience working on enterprise data migration projects
\n - 72 months of experience reconciling financial or operating data between legacy and moder ERP systems
\n - 72 months of working with data crosswalks
\n - 72 months of working with large datasets

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We provide equal employment opportunity for all applicants and employees regardless of race, color, sex, gender identity, gender expression, religion, age, national origin, citizenship, disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military/veteran status, or any other protected basis.