Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
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In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
& Summary
Responsibilities
1. NWBC or FIORI based solutioning in SAP MDG. 2. Different types of CR creation for master data creation, maintenance, block, unblock via governance process. 3. Process Modelling Configuration of new Change Requests and set up rulebased workflow (BRF+ or BadI or both) 4. Enhancing data model for custom attributes 5. Enhancing UI/Forms for custom attributes 6. Enhancing existing handler class to incorporate complex business rules 7. Maintenance of Z tables for validation, derivation to implement DDIC 8. Data Replication via IDOC or PIPO. 9. Worked with client that manufacture plumbing fixtures, building materials and housing equipment. 10. Added additional fields for MM data model and created end to end scenario for fields available in the ERP Backend system. 11. Enhanced BP data model with custom entities with corresponding UI enhancements. 12. Configured UI with CBAs and component configurations in FPM and adjusted field properties with BADI. 13. DRF configuration end to end. 14. Configuring Data Replication via SOA, ALE and RFC. 15. Setting up Key & Value Mapping in MDG for Material and legacy ECC systems. 16. Unit testing, supporting SIT, UAT and GoLive 17. Performing Pre Go Live cutover activities 18. Training user with the master data creation via NWBC & Fiori MDG process 19. Supporting post GoLive Defect resolution and implemented CR s.
Mandatory skill sets
Experience in at least 2 end to end SAP MDG implementation in one or more of the following objects BP Supplier & Customer, Material, Finance objects.
Preferred skill sets
Experience in at least 2 end to end SAP MDG implementation in one or more of the following objects BP Supplier & Customer, Material, Finance objects.
Years of experience required
3 to 12 years
Education qualification
Graduate Engineer or Management Graduate
Education
Degrees/Field of Study required Bachelor in Business Administration, Bachelor of Technology, Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
SAP Master Data Governance (MDG)
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
Travel Requirements
Government Clearance Required?