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Workday data conversion consultant

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Before you apply
LocationPune, Maharashtra; Hyderabad, Telangana
SenioritySenior
Experience5+ yrs
Company size1,001–5,000 people
PostedMay 14, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience in data migration or data conversion projects
2+ years of hands-on experience with Workday implementations
Strong knowledge of Workday modules (HCM, Financials, Payroll, etc.)
Strong data mapping, data modeling, and data validation skills
Proficiency in SQL, Excel and data analysis
Experience handling large datasets and complex data structures
Understanding of data governance and data quality frameworks
Experience in at least one full-cycle Workday implementation
Workday certification (HCM, Financials, or Integrations)
Skills
Workday
SQL
Excel
Workday data conversion consultant1
Key Responsibilities
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Lead end-to-end data conversion activities for Workday implementations (HCM, Finance, Payroll, etc.)
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Analyze legacy system data and map it to Workday data structures
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Design and develop data conversion strategies, templates, and ETL processes
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Perform data extraction, transformation, and loading using Workday delivered tools
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Cleanse and validate data to ensure accuracy and completeness before migration
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Collaborate with functional and technical teams to define data requirements
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Execute mock loads, identify issues, and resolve data discrepancies
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Support integration testing, UAT, and deployment phases
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Maintain documentation for data mapping, transformation rules, and conversion processes
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Ensure compliance with data governance, privacy, and security standards
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Troubleshoot data load errors and optimize conversion performance
Required Skills & Qualifications
•
5+ years of experience in data migration or data conversion projects
•
2+ years of hands-on experience with Workday implementations
•
Strong knowledge of Workday modules (HCM, Financials, Payroll, etc.)
•
Strong data mapping, data modeling, and data validation skills
•
Proficiency in SQL, Excel and data analysis
•
Experience handling large datasets and complex data structures
•
Understanding of data governance and data quality frameworks
Preferred Qualifications
•
Experience in at least one full-cycle Workday implementation
•
Workday certification (HCM, Financials, or Integrations)