Consultant | SAP Analytics | Goa | SAP | DSA Oil, Gas and Utilities

Deloitte · ✓ Verified company
📍 Goa, India · On-site · Full-time

About the role

The team Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P   Your work profile - Design, develop, and maintain interactive SAP Analytics Cloud (SAC) stories, dashboards, and analytical applications. - Create executive-level KPI dashboards and operational reports for various business functions. - Develop visualizations, scorecards, and self-service reporting solutions using SAC best practices. - Configure live and import data connections to SAP and non-SAP data sources. - Build advanced analytical applications utilizing SAC scripting, widgets, and business logic. - Ensure reporting solutions meet business requirements while maintaining usability and performance standards. - Strong experience in SAP Analytics Cloud (SAC) including Stories, Analytic Applications, Planning, and Digital Boardroom. - Hands-on experience with SAP Datasphere data modeling and data integration capabilities. - Expertise in SAP HANA Calculation Views, SQL, and performance optimization. - Knowledge of CDS Views, SAP S/4HANA Embedded Analytics, and SAP BW/BW4HANA. - Experience with SAC scripting, JavaScript, and custom application development. - Strong understanding of data warehousing, dimensional modeling, and analytics architecture. - Experience with live and import connection models. - Knowledge of OData services, APIs, and SAP integration technologies.   Key skills required - Design and implement relational and analytical data models within SAP Datasphere.   - 3+ years of hands-on experience with SAP Analytics Cloud (SAC). - 2+ years of experience with SAP Datasphere and SAP HANA Modeling.Proven experience delivering enterprise reporting and analytics solutions in large-scale SAP environments. - Develop and optimize SAP HANA Calculation Views, CDS Views, Business Entities, and analytical datasets. - Create semantic layers and reusable data models to support reporting and analytics requirements. - Implement data warehousing concepts such as dimensions, fact tables, hierarchies, and measures. - Work closely with Finance, Supply Chain, Procurement, Sales, and Business users to gather requirements. - Translate business needs into technical design specifications and analytical models. - Facilitate requirement workshops, design discussions, and solution reviews. - Provide recommendations on reporting strategy, KPI frameworks, and data visualization techniques. - Deliver user training, knowledge transfer sessions, and documentation.  - Act as a trusted advisor for analytics and reporting transformation initiatives.  - Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.