Job
Description
Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . 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. Why PWC 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 . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. & Summary Looking for an SAP Data Migration Consultant with extensive experience working with SAP Syniti to join a large global brands S/4 HANA program. s Roles & Responsibilities Proven experience working with Data Migration on S/4 HANA. Extensive hands on experience working with Syniti. Experience with Syniti ADMM, SDR, and Syniti DQ. Endtoend Data Migration experience DMC, LSMW, BAPI, IDOCs. Ability to lead crossfunctional teams. Experience with Deduplication, Data Quality, Data Reconciliation, Preload, and Postload reports. Experience in managing SAP S/4 HANA data migration, implementing an SAP ERP solution, and working with various SAP modules (FICO, MM, PP, PS, SD, SC, and EWM). Understanding of SAP database schema and data loading concepts. Ability to design and implement an SAP technical solution and a data solution. Debugging and LTMOM code development experience. Strong knowledge of MS SQL server programming, ETL tools (Syniti/Backoffice), and Master Data Management. Responsibilities Contribute to crossfunctional teams to deliver largescale SAP implementations. Collaborate with stakeholders to gather requirements and define project scope. Maintain highquality standards throughout the project lifecycle. Analyze and resolve complex technical issues related to SAP S/4 HANA and Syniti ADMM. Mandatory skill sets Minimum 4 years of experience working with Syniti ADMM and BODS. Strong oral and written communication skills. Flexibility to travel onsite for client meetings and project implementations Preferred skill sets Minimum 4 years of experience working with Syniti ADMM and BODS. Strong oral and written communication skills. Flexibility to travel onsite for client meetings and project implementations Years of experience required 4 to 8 years Education qualification Graduate Engineer or Management Graduate Education Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills SAP Advanced Data Migration and Management (ADMM), Syniti Data Replication 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} No
