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Eaton Corporation Product Data Analyst - 1 year fixed term contractor in Budapest, Hungary

What you’ll do:

As part of the ES EMEA Master Data Team, the candidate will be responsible in analyzing Data Completeness and Data Quality in our PIM (Product Information Management) tools to enable Data Syndications to relevant digital output channels, e.g.: BMECat XML or xChange JSON files for the Country Sales Organizations and/or Electro wholesalers. The definition of mappings from agnostic Eaton product data to different Product Classification systems like ETIM, eClass, BIM, ... is key for this role too.

Further, the team member will support projects and (key) customer specific data syndication requests.

Analyze Product Master Data completeness according the customer requirements

Check Data quality and define DQ rules according to the requirements / Industry Standards (ETIM, ECLASS, AMAZON, EPLAN, ...)

Create Data Completeness and Data Quality rules and dashboards in P360 or future DQ tool such (display with Power BI)

Act as a Subject Matter Expert for agnostic product attributes mapping to classification systems

Create export templates for Data Syndication in P360

Syndicate Data and distribute these classified data, to CSOs, customers directly and/or via Eaton's Premium Self-Service Portal (Download Center)

Qualifications:

Degree in Business Administration or equivalent.

Excellent English communication skills (spoken and written)

1-3 years’ experience in similar role (e.g. (Master) Data Analyst, Customer Service, Order Management.

Skills:

Electrical/Electronics Engineer with interest in product data to support Eaton's Digitalization Strategy and Roadmap. Interest in IT program skills is a benefit.

Interest in data handling in general, in our case of electrotechnical product master data.

Skills preferred in MS office tools in general and XML or any other program language as benefit.

Alternative scenario would be a Computer scientist, programmer, with interest for technical products, electrotechnical preferred.

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