- You as the SAP Analytics Cloud (SAC) and SAP Datasphere will ensure systems and business processes are developed to meet requirements.
- This role as an analyst will be responsible for delivering system services, improvements and projects.
- Your role will require collaboration with other business functions and multi-functional IT members to ensure the ongoing system integrity and stability.
- This role would signify the ability to work in a fast-paced, pressured environment with multiple customers.
- Hold at least a B.Tech in computer science, information technology, or in a related field, with at least 6-8 years of overall experience in a similar role within a large, global organisation.
- The ideal candidate will have solid expertise in both SAC and SAP Datasphere (formerly SAP Data Warehouse Cloud) to enable data-driven decision-making across the organisation.
Responsibilities:·
- Design and implement data models and semantic layers in SAP Datasphere
- Develop interactive dashboards, reports, and visualisations in SAP Analytics Cloud
- Support financial planning, forecasting, and simulation models in SAC
- Integrate SAP and non-SAP data sources (S/4HANA, SuccessFactors, Salesforce, AWS, etc.)
- Collaborate with business stakeholders to understand requirements and deliver self-service analytics
- Ensure data governance, access control, and data lineage tracking
- Provide training and enablement for business users and citizen developers
- Troubleshoot and optimize performance of data models and visualizations
- Support UAT, cutover, and go-live activities for data & analytics solutionsRequired
Skills and Experience :·
- Strong hands-on experience with SAP Analytics Cloud.
- · Ability for SAC Story Scripting
- · Proficiency in SAP Datasphere
- Familiarity with S/4HANA data structures and CDS Views
- Working knowledge of HANA SQL, data modelling, and ETL concepts
- Understanding of SAC Excel Add-in including SAP Excel formulas
- Understanding of KPIs and metrics across finance, sales, supply chain, or HR
- Ability to translate business questions into data visualizations and models.