- Design and develop analytic applications using SAP Analytics Cloud (SAC) and SAP Datasphere, focusing on KPI and analytical models that support strategic business initiatives.

- Build interactive dashboards and KPI applications in SAC for both import and live scenarios, leveraging data sourced from SAP Datasphere and other platforms.

- Create scalable, secure, and governed data models in SAP Datasphere to support advanced analytics and reporting use cases.

- Integrate SAC dashboards seamlessly with SAP Datasphere datasets, ensuring up-to-date and consistent analytics for end users.

- Utilize predictive scenarios, R visualizations, and external libraries to create immersive and insightful user experiences in both SAC and Datasphere environments.

- Continuously optimize dashboard and application performance across SAC and Datasphere, while providing recommendations for enhancements and identifying bottlenecks.

- Develop and document Business Objects Universes, reports, and dashboards, ensuring accuracy and alignment with enterprise data standards.

- Connect, model, and harmonize data from SAP and non-SAP sources in Datasphere, facilitating cross-system analytics through SAC.

- Design comprehensive reports with multiple tabs, queries, visualizations, and drill down capabilities tailored to business requirements.

- Apply best practices in data visualization and user experience, enhancing accessibility and adoption of solutions built on SAC and Datasphere.

- Demonstrate expertise in data integration, connectivity, and modelling across SAC, Datasphere, and other data platforms.

- Utilize strong analytical and problem solving skills to address technical challenges and drive continuous performance improvement.

- Provide technical leadership, coaching, and mentorship to team members, fostering knowledge growth in SAC and Datasphere technologies.

- Establish and maintain best practices for software quality, documentation, and project delivery within agile and scrum frameworks.

- Customize SAC applications using scripting languages (such as JavaScript) and leverage advanced features in Datasphere for data orchestration and automation.

Essential requirements :

- Degree in Computer Science, Business Informatics or a comparable degree.

- Overall, 7-10 years of experience and at least 2-3 years experience working on SAP SAC / Datasphere solutions as a Consultant, Analyst, Developer or relevant role.

- Proven experience designing and implementing solutions utilizing SAC for planning, forecasting, and KPI reporting, as well as integrating with SAP Datasphere and upstream processes.

- Expertise with SAC predictive functionality, Smart features (Smart Assist, Smart Predict, Smart Discovery), advanced story canvases, data blending, cross-calculations, input controls, and linked analysis.

- Skilled in connecting SAC and Datasphere to varied data sources, including SAP HANA, and external databases.

- Proficiency in SAP Datasphere for building unified, harmonized, and governed data models to serve enterprise analytics.