Digital Transformation Data Intern
Faber Group, Sauk Trail Beach, WI, United States
You are joining the Enterprise Information Management (EIM) team as an intern with the accountability to deliver (and support the delivery 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.
Your Impact
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
Do you have questions and would like to get in direct contact with our HR team? Then get in touch with us!
#J-18808-Ljbffr
Your Impact
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
Do you have questions and would like to get in direct contact with our HR team? Then get in touch with us!
#J-18808-Ljbffr