Senior Associate_ SAP BW HANA_D&A_Advisory

Not Applicable Data, Analytics & AI Senior Associate At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.

• Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization.
• 510 years experience on SAP BW.
• Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA.
• knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit.
• full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA
• Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement
• Strong experience in writing ABAP/AMDP code for exits, Transformation.
• Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting.
• Understanding of LSA/LSA++ architecture and its development standards.
• Good understanding of BW4 Application and Database security concepts.
• Functional Knowledge of various Modules like SD, MM, FI.

Degrees/Field of Study required Degrees/Field of Study preferred Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 9 more} No No