SAP BTP Analytics Cloud and Datasphere Professional

DXC Technology

15d ago

Job
Full-time
Mid, Senior & Expert Level
Data
IT & Cybersecurity
Hyderabad

AI generated summary

You need 4-10 years in SAP Analytics with expertise in data modeling, ETL, SAC, and Datasphere, plus integration skills, predictive analytics, and strong communication abilities. Certifications required.
You will design and implement analytics solutions, optimize data models, integrate platforms, and deliver reports while collaborating with teams and clients in a dynamic environment.

Requirements

1. Advanced Data Modeling and Data Warehousing:
2. Ability to design and implement complex data models, including star schemas, snowflake schemas, and other advanced modeling techniques in SAP Datasphere.
3. Proficiency in transforming raw data into structured formats using advanced ETL (Extract, Transform, Load) processes.
4. Implementing data virtualization techniques to integrate and manage data across disparate sources without physical data replication.
5. Advanced Reporting and Dashboarding:
6. Expertise in creating custom calculations, measures, and advanced scripting within SAC to meet complex business requirements.
7. Designing sophisticated SAC stories (dashboards and reports) with advanced features like linked analysis, drilling down, and dynamic filtering.
8. Utilizing SAC's predictive analytics capabilities to build and deploy machine learning models for forecasting and advanced data analysis.
9. Integration and Data Connectivity:
10. Experience in integrating SAP Analytics Cloud with other systems using APIs (Application Programming Interfaces) for real-time data access.
11. Setting up and managing live data connections between SAC and various SAP and non-SAP systems to ensure real-time data availability.
12. Implementing data federation techniques to enable seamless data access across multiple data sources without extensive data movement.
13. Performance Optimization:
14. Skills in optimizing queries to improve performance and ensure efficient data retrieval in SAP Datasphere and SAC.
15. Techniques to manage and optimize large volumes of data, ensuring high performance and scalability of analytics solutions.
16. Implementing caching strategies and data aggregation techniques to enhance the speed and efficiency of reporting.
17. Security and Compliance:
18. Ensuring data governance policies and practices are in place to maintain data quality, security, and compliance.
19. Configuring and managing role-based security in SAC to ensure appropriate access control and data protection.
20. Implementing auditing and monitoring mechanisms to track data usage, changes, and user activities for compliance purposes.
21. SAP Business Technology Platform (BTP) Integration:
22. Integrating SAP Analytics Cloud with other SAP BTP services like SAP Data Intelligence, SAP HANA Cloud, and SAP AI Core for enhanced analytics capabilities.
23. Utilizing SAP BTP's extensibility features to build custom applications and extensions that complement SAC and Datasphere analytics solutions.
24. Collaboration and Sharing:
25. Leveraging SAC's collaboration features to enable team-based analysis, commenting, and sharing of insights.
26. Automating the publication and distribution of reports and dashboards to stakeholders using SAC scheduling and distribution features.
27. Excellent collaboration, training, and documentation abilities.
28. Excellent communication skills with the ability to work effectively with all team members and Client.
29. Desired Attitude: Positivity, Curiosity, Open Mindedness, Continuous Learning, Persistence and Collaboration.
30. Thought leadership and Innovation around finance.
31. Ability to develop, present new ideas and conceptualise new approaches and solutions.
32. Experience of 4-10 Years in SAP Analytics.
33. Certified in SAP S/4 HANA SAC, Datasphere.
34. Implementation experience minimum 2 end-to-end implementations.
35. Proven experience with SAP Analytics Cloud (SAC) and SAP Datasphere.
36. Strong understanding of data modelling, data warehousing concepts, and ETL processes.
37. Proficiency in developing reports, dashboards, and data visualizations using SAC.
38. Familiarity with SAP S/4HANA, SAP ECC, and other SAP products.
39. Experience with SQL, data integration tools, and data formats (XML, JSON, CSV).
40. Advanced data modelling and data transformation skills.
41. Proficiency in predictive analytics and machine learning within SAC.
42. Strong integration and data connectivity skills.
43. Experience in performance optimization and data volume management.
44. Knowledge of data governance, security, and compliance practices.
45. Familiarity with SAP BTP integration and extensibility features.

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
- 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 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
- 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
- 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
- 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
- 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
- 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
- Extensibility: Utilizing SAP BTP's extensibility features to build custom applications and extensions that complement SAC and Datasphere analytics solutions
- 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

FAQs

What is the primary responsibility of the SAP BTP Analytics Cloud and Datasphere Professional?

The primary responsibility includes supervising, implementing, and delivering solutions for clients, particularly in large-scale supply chain management and transformation projects.

What kind of environment will I be working in?

You will be working in a fast-growing and challenging environment alongside like-minded professionals across the region.

What advanced skills are required for this position?

The position requires advanced skills in data modeling, reporting, dashboarding, integration, performance optimization, security and compliance, and SAP Business Technology Platform (BTP) integration.

Do I need to have a specific certification for this role?

Yes, a certification in SAP S/4 HANA, SAP Analytics Cloud (SAC), and SAP Datasphere is required.

What type of projects will I be involved in?

You will be involved in delivering large-scale, complex supply chain management and transformation projects.

Is experience with SAP Analytics Cloud necessary?

Yes, proven experience with SAP Analytics Cloud (SAC) and SAP Datasphere is necessary for this role.

How many years of experience should I have to apply?

You should have 4-10 years of experience in SAP Analytics to be considered for this position.

Will I need to work on data integration?

Yes, you will need strong integration and data connectivity skills, including experience with API integration and live data connections.

What soft skills are preferred for this role?

Excellent collaboration, communication skills, a positive attitude, curiosity, open-mindedness, and a focus on continuous learning and innovation are desired.

What should I know about compliance and data governance in this role?

Knowledge of data governance, security, and compliance practices is important, as you will be responsible for maintaining data quality and ensuring appropriate access control.

Are there any nice-to-have skills for this position?

No, there are no specific nice-to-have skills listed for this position.

What is the recruitment policy regarding employment offers?

DXC Technology does not make offers of employment via social media, nor do they ask for money or personal information as part of the recruitment process.

DXC Technology

Delivering excellence for our customers and colleagues

Technology

Industry

1001-5000

Employees

2017

Founded Year

Mission & Purpose

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates.