Data Migration SAP

Sapsol Technologies Inc; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Hays is seeking a detail-oriented Nearshore Data Expert/Specialist to lead data cleansing, assessment, and defect analysis in preparation for SAP S/4HANA migration. The role requires collaboration with offshore resources and cross-functional teams to ensure data quality and readiness for migration.

The ideal candidate possesses strong analytical skills, experience in data quality management, and the ability to deliver clear visualizations and progress reporting throughout the migration project.

Qualifications

• Experience in data assessment, cleansing, and quality management.
• Strong analytical skills with the ability to interpret, reconcile data, and present insights through clear, easy-to-understand visualizations.
• Good MS Office knowledge; ECC data extraction experience is advantageous.

Responsibilities

• Data assessment and analysis to identify data elements, assess quality, and uncover dependencies.
• Data cleansing and quality management to resolve duplicates, missing values, inconsistencies, and inaccuracies.
• Prepare country-specific data packages and coordinate with teams to ensure completeness and accuracy.
• Develop and maintain tracking sheets or dashboards for data quality metrics and communicate progress and issues with the project team.

Skills

Data quality

Data analysis

Visualization

Offshore collaboration

Tools

MS Office

SAP ECC

SAP S/4HANA

Job description

We are seeking a detail-oriented and experienced Nearshore Data Expert/Specialist (m/f/d) to lead data cleansing, assessment, and defect analysis activities in preparation for data migration to SAP S/4HANA. The ideal candidate will have strong analytical skills, expertise in data quality management, and the ability to collaborate effectively across teams, including offshore resources.

Client- Hays

Key Responsibilities:

• Data Assessment & Analysis: Evaluate existing data within the source system to identify data elements, assess data quality, understand data structures, and uncover dependencies.
• Data Cleansing & Quality Management: Identify and resolve data issues such as duplicates, missing values, inconsistencies, and inaccuracies. Ensure only high-quality, reliable data is migrated.
• Country-specific Data Packages: Prepare and facilitate data cleansing activities for each country, coordinating with respective teams to ensure completeness and accuracy.
• Statistical & Progress Reporting: Develop and maintain tracking sheets or dashboards for data quality metrics and communicate progress and issues with the project team.
• Data Issue & Defect Management: Track, manage, and resolve data quality issues and defects identified during or after the migration process. Conduct post-migration defect analysis to identify trends and areas for improvement.
• Documentation & Readiness: Ensure all migration documentation is complete, accurate, and ready for execution.
• Data Mapping & Transformation: Coordinate data mapping requests from various streams, ensuring file completeness
• Collaboration with Functional Teams: Work closely with Business Process Teams and SAP Functional Consultants .
• Migration Support & Cutover: Assist with data migration cutover activities, including validation and post-migration validation.

Qualifications:

• Proven experience in data assessment, cleansing, and quality management.
• Strong analytical skills with the ability to interpret, reconcile data, and present insights through clear, easy-to-understand visualizations
• Strong MS Office knowledge and experience
• Experience extracting data from ECC would be advantageous
• Good understanding of SAP ECC and S/4HANA data models and master data.
• Excellent administrative and organizational skills, capable of managing plans, tracking progress, and working with offshore teams.
• Experience in defect analysis, trend identification, and continuous improvement.
• SNP Data Migration experience is beneficial

Familiarity with data migration processes and best practices in SAP environments