Faber Group

Pallet pooling and reuse logistics network

Digital Transformation Data Intern

Data Management +1Confirmed live in the last 24 hours

Internship's-Hertogenbosch, NetherlandsNo salary listed

About the Job

Responsibilities

Profile data across legacy applications using data science tools to identify duplicates, obsolete data, dependent objects, and potential business rules.
Use profiling findings to align with business data owners and stakeholders on data-cleansing needs, prepare files for business subject-matter experts to carry out cleansing, and provide user support and quality assurance.
Test all data flows.
Support data owners with pre-load and post-load validations.
Support the definition of conceptual data models for core data objects and attributes.
Manage the impact of translating conceptual data models into physical data models.
Complete the data dictionary with the latest information.
Support the design and documentation of change, read, update, and deactivate (CRUD) processes for main master data objects.
Support user training and testing for data maintenance processes.
Help translate paper processes into supporting tool configuration and implementation.
Assist in defining the overall Information Management strategy.
Define dashboards and key performance indicator structures.
Define and implement fit-for-purpose data models.
Map strategic information needs to supporting operational reporting.
Support user training and testing for reporting and analytics.

You are joining the Enterprise Information Management (EIM) team as an intern with the accountability to deliver (and support the delivery of) of data maintenance processes (design and delivery), data migration, data modeling and the implementation of supporting tooling data, as part of the digital transformation program of Faber Group.

We work two days per week on location (Den Bosch) and the rest from home, but with flexibility

Responsibilities

The Digital Transformation program aims at delivering Faber's future process and application landscape. As part of the program's deliverables, we are implementing a new group department (EIM) as well as lead the data migration from the 5 legacy ERP systems into the future application landscape. The internship's key responsibilities can contain:

Data migration

Data profiling; using data science tools to identify duplicates, obsolescence, dependent objects and potential business rules across all legacy applications
Data cleansing; using the potential business rules identified during profiling to align with business data owners and stakeholders on data cleansing needs, preparing files for business SME's to activate actual cleansing. User support and quality assurance.
Testing all flows
Support data owners with pre - and post load validations

Data modeling

Support the definition of the conceptual data model for all core data objects and attributes
Manage impact of the translation of conceptual data models to physical data models
Complete data dictionary with the latest information

Data maintenance processes

Support design and documentation of the so called CRUD (change, read, update and deactivate) processes for the main master data objects
Support user training and testing
Help translate paper processes to supporting tool configuration and implementation

Reporting and Analytics

Assist in definition of the overall Information Management strategy
Define dashboards and KPI structures
Define and implement Fit for Purpose data models
Map strategic information needs to supporting operational reporting
Support in user training and testing

About the Company

Faber Group

Pallet pooling and reuse logistics network

PAKi provides a Europe-wide load-carrier pooling system that lets companies use an open pool of standardized pallets and containers rather than owning shipment-specific units. It works by dropping off pallets at a location and picking up identical ones at another, supported by a network of over 10,000 drop‑off points and a focus on reuse and refurbishment. It stands out from competitors with its expansive pooling network, long connection to EPAL standardization, and integration with the Faber Halbertsma Group, a major pallet maker. Its goal is to reduce waste and CO2 emissions while making freight logistics faster and more cost-efficient by simplifying how load carriers circulate through the supply chain.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Ennepetal, Germany
Founded: 1891

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