O2I & EDI Automation Solution Analyst

Randstad Polska Sp. z o.o.

Warszawa

Hybrid

PLN 63,000 - 75,000

Full time

12 days ago
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Benefits offered by this job

Hybrid work model
Home office equipment subsidy

Job summary

Randstad Polska Sp. z o.o. is looking for a Solution Analyst to bridge operations and IT, ensuring smooth Order-to-Invoice processes and MD data governance. You will implement AI tools, work with low‑code platforms, and support SAP/EDI testing with IT and business teams.

The role emphasizes data quality, cross‑functional collaboration, and hands-on improvement of master data and processes in a dynamic, international environment.

Qualifications

  • Fluent English for daily international communication (B2/C1).
  • Strong Excel and data-analysis capabilities.
  • Interest in AI, automation, and modern business systems (SAP, EDI).
  • Excellent communication and collaboration with business and IT teams.
  • Prior exposure to customer service, supply chain, or ERP concepts is a plus.

Responsibilities

  • Act as liaison between operations and IT to ensure smooth Order-to-Invoice processes.
  • Diagnose and resolve order registration and EDI issues (IDoc, ESKER, translations).
  • Coordinate cross-functional activities with IT, clients, and internal teams to resolve processing failures.
  • Support system implementations and test EDI transactions with IT and Division teams.
  • Develop automation scripts and low-code solutions to reduce manual tasks.
  • Champion Master Data integrity across products, customers, and locations.

Skills

English fluency (B2/C1)
MS Excel
Data analysis
AI/low-code interest
ERP systems knowledge
Communication skills

Tools

SAP
EDI
Retool
Google Workspace

Job description

Randstad Polska Sp. z o.o. is looking for a Solution Analyst to bridge operations and IT, ensuring smooth Order-to-Invoice processes and MD data governance. You will implement AI tools, work with low‑code platforms, and support SAP/EDI testing with IT and business teams.

The role emphasizes data quality, cross‑functional collaboration, and hands-on improvement of master data and processes in a dynamic, international environment.

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