Job Description

Job Opening: SAP Datasphere & SAC Planning Consultant Location: Chennai, India Experience: 5+ Years Client: Global organization with presence in Americas, Europe, Middle East, and Singapore Availability: Immediate joiners or candidates available to join within 1 month Relocation: Open to relocating to Chennai (mandatory) Job Description We are seeking an experienced SAP Datasphere and SAC (SAP Analytics Cloud) Planning Consultant to join our client's dynamic team in Chennai. The ideal candidate will bring over 5 years of hands-on expertise in SAP Datasphere and SAC Planning, working across various global regions and industries. Key Responsibilities Design and implement end-to-end planning solutions using SAP Datasphere and SAC. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Develop and optimize planning models, reports, and dashboards. Ensure data integration between SAC and various source systems including SAP S/4HANA, BW, and other data platforms. Support data modeling, ETL, and analytics processes. Participate in system testing, troubleshooting, and performance tuning. Provide training and documentation for end-users and internal teams. Requirements Minimum 5 years of experience in SAP Datasphere (formerly Data Warehouse Cloud) and SAC Planning. Strong understanding of financial and operational planning processes. Proven experience in SAC data modeling, story building, and predictive analytics. Familiarity with SAP BW, S/4HANA, and integration technologies. Excellent problem-solving skills and the ability to work in a fast-paced global environment. Strong communication and client-facing skills. Preferred Qualifications SAP certification(s) in SAC Planning or Datasphere. Experience with clients in diverse geographical regions (Americas, Europe, Middle East, Singapore). Previous experience in a consulting environment. Note Only candidates who are willing to relocate to Chennai and can join within one month should apply. Show more Show less