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Job Title:  Consultant | SAP Analytics | Goa | SAP | DSA Oil, Gas and Utilities

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.

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