Senior SAP IS-U Data Migration Consultant

EY; New Orleans (LA); Vor Ort; USD 103.000 - 205.000; Vollzeit

Zusammenfassung

EY is seeking an SAP IS-U Data Conversion Senior Consultant to support data migration activities for SAP IS-U implementations. You will analyze legacy data, define conversion requirements, and manage data from source to SAP IS-U, including cutover and post-load validation.

You will collaborate with business, functional and technical teams, travel up to 40–60% as needed, and help ensure data quality across master and transactional objects such as business partners, contracts, premises, devices,

Qualifikationen

• SAP IS-U functional knowledge and utility industry experience.
• Hands-on SAP IS-U data conversion including mapping, profiling, and loads.
• Ability to collaborate with business, functional, and technical teams.
• Travel willingness up to 40–60%.

Aufgaben

• Analyze legacy data structures and target SAP IS-U requirements for assigned master and transactional data objects.
• Define and maintain source-to-target mappings, transformation rules, value translations, validation rules, and load dependencies with stakeholders.
• Support conversion of utility data such as business partners, contract accounts, contracts, premises, devices, meter readings, billing history, and FI-CA balances.
• Coordinate staging and ETL activities with technical data teams and drive defect resolution.

Kenntnisse

SAP IS-U

Data conversion

Data profiling

Transformation rules

Validation rules

Mock loads

Reconciliation

Cutover

ETL coordination

Data quality

Stakeholder mgmt

Travel readiness

Ausbildung

Bachelor’s degree

Tools

EMIGALL

Jobbeschreibung

EY is seeking an SAP IS-U Data Conversion Senior Consultant to support data migration activities for SAP IS-U implementations. You will analyze legacy data, define conversion requirements, and manage data from source to SAP IS-U, including cutover and post-load validation.

You will collaborate with business, functional and technical teams, travel up to 40–60% as needed, and help ensure data quality across master and transactional objects such as business partners, contracts, premises, devices,