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