SAP Btp Analytics Cloud and Datasphere Professional

**Responsibilities**
- Working together with local/regional teams to supervise, implement and deliver solutions for our clients
- Working in a fast growing and challenging environment with like-minded people across the region
- Delivering large-scale, complex supply chain management and transformation projects
- Solution Design and Implementation.
- Support:

- Advisory for Migration to Datasphere, BW/4 HANA
- Build POCs for Intelligent Enterprise inline with SAP Future Roadmap
- Publish Blogs, POV and White Papers

**Advanced SAP Analytics Skills**

**1. Advanced Data Modeling and Data Warehousing**:

- ** Complex Data Models**: Ability to design and implement complex data models, including star schemas, snowflake schemas, and other advanced modeling techniques in SAP Datasphere.
- ** Data Transformation**: Proficiency in transforming raw data into structured formats using advanced ETL (Extract, Transform, Load) processes.
- ** Data Virtualization**: Implementing data virtualization techniques to integrate and manage data across disparate sources without physical data replication.

**2. Advanced Reporting and Dashboarding**:

- ** Custom Calculations and Scripting**: Expertise in creating custom calculations, measures, and advanced scripting within SAC to meet complex business requirements.
- ** Story Design**: Designing sophisticated SAC stories (dashboards and reports) with advanced features like linked analysis, drilling down, and dynamic filtering.
- ** Predictive Analytics and Machine Learning**: Utilizing SAC's predictive analytics capabilities to build and deploy machine learning models for forecasting and advanced data analysis.

**3. Integration and Data Connectivity**:

- ** API Integration**: Experience in integrating SAP Analytics Cloud with other systems using APIs (Application Programming Interfaces) for real-time data access.
- ** Live Data Connections**: Setting up and managing live data connections between SAC and various SAP and non-SAP systems to ensure real-time data availability.
- ** Data Federation**: Implementing data federation techniques to enable seamless data access across multiple data sources without extensive data movement.

**4. Performance Optimization**:

- ** Query Optimization**: Skills in optimizing queries to improve performance and ensure efficient data retrieval in SAP Datasphere and SAC.
- ** Data Volume Management**: Techniques to manage and optimize large volumes of data, ensuring high performance and scalability of analytics solutions.
- ** Caching and Aggregation**: Implementing caching strategies and data aggregation techniques to enhance the speed and efficiency of reporting.

**5. Security and Compliance**:

- ** Data Governance**: Ensuring data governance policies and practices are in place to maintain data quality, security, and compliance.
- ** Role-Based Security**: Configuring and managing role-based security in SAC to ensure appropriate access control and data protection.
- ** Auditing and Monitoring**: Implementing auditing and monitoring mechanisms to track data usage, changes, and user activities for compliance purposes.

**6. SAP Business Technology Platform (BTP) Integration**:

- ** Integration with BTP Services**: Integrating SAP Analytics Cloud with other SAP BTP services like SAP Data Intelligence, SAP HANA Cloud, and SAP AI Core for enhanced analytics capabilities.

**7. Collaboration and Sharing**:

- ** Collaborative Analytics**: Leveraging SAC's collaboration features to enable team-based analysis, commenting, and sharing of insights.
- ** Publication and Distribution**: Automating the publication and distribution of reports and dashboards to stakeholders using SAC scheduling and distribution features.
- Excellent collaboration, training, and documentation abilities.
- Excellent communication skills with the ability to work effectively with all team members and Client
- Desired Attitude: Positivity, Curiosity, Open Mindedness, Continuous Learning, Persistence and Collaboration
- Thought leadership and Innovation around finance
- Ability to develop, present new ideas and conceptualise new approaches and solutions

**Desired Skills and Qualifications**
- Experience of 4-10 Years in SAP Analytics
- Certified in SAP S/4 HANA SAC, Datasphere
- Implementation experience minimum 2 end-to-end implementations.
- Proven experience with SAP Analytics Cloud (SAC) and SAP Datasphere.
- Strong understanding of data modelling, data warehousing concepts, and ETL processes.
- Proficiency in developing reports, dashboards, and data visualizations using SAC.
- Familiarity with SAP S/4HANA, SAP ECC, and other SAP products.
- Experience with SQL, data integration tools, and data formats (XML, JSON, CSV).
- Advanced data modelling and data transformation skills.
- Proficiency in predictive analytics and machine learning within SAC.
- Strong integration and data connectivity skills.
- Experience in performance optimization and data volume management.
- Knowledge