Must have

• SAP

• Data migration

• Data structures

• Data mapping

• English

Requirements description

Expectations

• Expertise in SAP Data Migration for Plant Maintenance objects.
• Strong understanding of data dependencies and cross-functional requirements.
• Ability to participate in process design workshops and define key data principles.
• Knowledge of DDAM documentation and compliance with legal and design standards.

Offer description

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Functional Data Analyst – SAP Plant Maintenance

Start Date: ASAP / Within 1 Month / Flexible Work Model: 100% remote Contract Type: B2B (200- 220 PLN/h + VAT)

We are looking for a Functional Data Analyst – SAP Plant Maintenance to join our team and support data migration activities within the Data Tower. This role focuses on SAP S/4HANA data and standard processes, acting as a key link between process towers, business stakeholders, and technical teams. The successful candidate will help define transformation rules, support source-to-target mappings, and propose data migration strategies for Plant Maintenance objects.

What We Offer

• Medicover healthcare package
• Multisport card
• Access to an e-learning platform
• Group life insurance

Opis Firmy

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie.

Your responsibilities

1. Collaborate with functional teams to understand “To-Be” data and process requirements.
2. Work with business data owners and SMEs to analyze “As-Is” data structures.
3. Ensure all migration requirements are documented in DDAM (Data Definition and Migration) documents.
4. Drive data migration activities, including cleansing and collection for Plant Maintenance objects.
5. Support data mapping workshops and provide guidance on source-to-target mappings and transformation rules.