
Migration Specialist
2 days ago
Data Extraction | Analysis & Data Transformation | Mapping:
- Collaborate with local HR teams in different countries to understand their existing HR data
structures and systems.
- Extract data from various Global source systems (e.g. legacy HR systems, spreadsheets, etc.) using appropriate tools and techniques.
- Analyze and profile the extracted data to identify data quality issues, inconsistencies, and
gaps.
Data Validation and Reconciliation:
- Collaborate with local HR teams in different countries to understand their existing HR data
structures and systems.
- Extract data from various Global source systems (e.g. legacy HR systems, spreadsheets, etc.) using appropriate tools and techniques.
- Analyze and profile the extracted data to identify data quality issues, inconsistencies, and
structures and systems.
Collaboration and Communication:
- Work closely with Global HR, IT and local HR teams to coordinate data migration activities.
- Provide clear and concise communication to stakeholders on data migration progress, issues, and risks.
- Develop and maintain comprehensive data migration documentation. Troubleshooting and
Support:
- Troubleshoot data migration issues and provide support to local HR teams.
- Escalate complex technical issues as needed.
Skills and knowledge
Workday Knowledge: Experience working with Workday is required, including foundation data
structures and EIB. Workday certifications are a plus.
Data Migration Experience: Proven experience in data migration projects involving HR data and
Workday.
Data Analysis Skills: Strong data analysis skills, including data profiling, cleansing, and
transformation.
Technical Skills: Proficiency in data manipulation tools (e.g. SQL, Excel) and data migration processes.
Communication and Collaboration: Excellent communication, interpersonal, and collaboration skills. Ability to effectively interact with technical and non-technical stakeholders. Global mindset and understanding of different cultural contexts.
Problem-Solving: Strong analytical and problem-solving skills with the ability to identify and resolve data inconsistencies.
Attention to Detail: Meticulous attention to detail and a commitment to data accuracy.
Location - virtual, based in Hyderabad or Budapest
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