Description :

Role : Senior Consultant SAP Analytics Cloud and Datasphere.

Experience : 6 to 8 Years.

Location : India (Delhi/ Hyderabad/ Mumbai/ Noida/Pune).

Shift : UK Shift.

Skills Required :

- 6+ years of overall experience with strong expertise in SAP Analytics Cloud and SAP Datasphere (3+ years).

- Strong proficiency in Datasphere data modelling, including :

1. Multi-layered architecture (Foundation, Business, Consumption layers).

2. Local tables, graphical views, SQL views, and analytic models.

3. Measures, hierarchies, and currency/unit conversions.

- Experience in data integration and ingestion using S/4 Hana, CDS Views, SLT Replications, Flat files and external databases.

- Expertise in delta handling and CDC strategies.

- Strong knowledge of performance optimization and query tuning.

- Experience in Datasphere security and governance :

i. Analytic privileges, space-based access, row/column-level security.

ii. Transport management and lifecycle governance.

- Strong hands-on experience in SAC modelling and connectivity.

a. Live and import connections.

b. Query pushdown vs in-memory processing.

- Advanced expertise in SAC story and dashboard development.

- Proficiency in SAC scripting (JavaScript) and advanced analytics.

- Experience in SAC performance tuning for large datasets.

- Knowledge of SAC security, administration, and transports.

- Strong understanding of Datasphere + SAC architecture and best practices.

- Experience in solution design reviews and governance processes.

Nice to Have :

- Experience with SAC Planning and Predictive scenarios.

- Knowledge of CPI/BTP integrations.

- Experience in large enterprise and onshoreoffshore delivery models.

Responsibilities :

- Provide Level 2 / Level 3 BAU support for SAP Datasphere and SAP Analytics Cloud.

- Manage incidents, problems, and service requests as per ITIL processes.

- Monitor BI systems, data pipelines, and reporting availability.

- Troubleshoot data quality, integration, and performance issues.

- Support financial and management reporting cycles.

- Ensure data consistency across SAP and analytics platforms.

- Implement report fixes, enhancements, and minor change requests.

- Design, develop, and optimize Datasphere data models and semantic layers.

- Manage data ingestion, replication, and transformation processes.

- Optimize analytic models for SAC consumption.

- Implement security, authorization, and governance standards.

- Manage object lifecycle across development, test, and production environments.

- Define and implement DatasphereSAC architecture patterns.

- Support hybrid integration scenarios (S/4HANA, BW, Datasphere, SAC).

- Maintain technical documentation and knowledge assets.

- Act as a primary BI technical contact for stakeholders.

- Participate in design reviews, incident analysis, and service governance meetings.

- Provide proactive communication on risks, issues, and resolution plans.