Data Migration Analyst jobs
• The average pay for Data Migration Analyst jobs is $111K per year.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $165K per year.
• 4 companies are currently advertising Data Migration Analyst jobs including Exclaim IT, Talenza, Speller International and HiTech Group.
• Top skills include Stakeholder engagement, Data cleansing, Data governance, Data mapping and Data Validation.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $165K per year.
• 4 companies are currently advertising Data Migration Analyst jobs including Exclaim IT, Talenza, Speller International and HiTech Group.
• Top skills include Stakeholder engagement, Data cleansing, Data governance, Data mapping and Data Validation.
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+60d ago
Full time
·
Permanent
Similar jobs pay
~$85k
Lead a high-impact ERP transformation with real business visibility
Key points we found
- Lead end-to-end ETL activities for data migration.
- Ensure data integrity and accuracy during the migration process.
- Collaborate with stakeholders to deliver reporting solutions.
Posted 1d ago
Full time
·
Contract
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Contribute to a high-profile Federal Government program
- Develop and execute test strategies and plans
- Manage defect reporting and coordinate testing activities
Expiring in 1d
Full time
·
Contract
Similar jobs pay
~$145k - $165k
AU$145000.00 - AU$165000.00 per annum + super
Key points we found
- Support a large-scale Workday implementation by migrating critical HR and recruitment data.
- Analyse source and target data to identify gaps and migration risks.
- Collaborate with stakeholders to ensure accurate and reconciled data for migration.
Posted 27d ago
Contract
Similar jobs pay
~$80k - $120k
Pay information not disclosed by advertiser
Key points we found
- Support a critical vegetation risk reduction project as a Data Migration Analyst.
- Assess, map, cleanse, and migrate data between existing and future-state systems.
- Collaborate with project stakeholders to ensure data quality and migration readiness.