IN_Senior Associate_SAP BW4 HANA_GCC_Advisory_ Bangalore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. *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 purpose-led and values-driven 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. " Job Description & Summary: SAP BW/4HANA Senior Associate Responsibilities: BW on HANA/BW4HANA implementation in key SAP modules Requirement’s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and non-SAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions Understand the integration and consumption of BW data models/repots with other Tools Mandatory skill sets: Hands-on 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. 5-10 years experience on SAP BW. Experience in integration of BW with various SAP and Non-SAP 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 Preferred skill sets: 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. Years of experience required: 5–10 years Education qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Digital Tooling, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date May 21, 2026