Experience: 8 to 13 Yrs

Location is Chennai - Hybrid

C2H mode

Only Immediate joiners

SAP Analytics Cloud & Datasphere Consultant

AstraZenecas Global Business Services (GBS) Process & Analytics Services capability is at the forefront of transforming our business processes through innovation in automation, analytics, and artificial intelligence. As part of the Process Insights team, we are scaling our SAP analytics expertise to deliver best-in-class solutions. We are seeking a talented SAP Analytics Cloud & Datasphere Consultant to drive analytical initiatives and empower data-driven decision-making across AstraZeneca.

Essential requirements

- Degree in Computer Science, Business Informatics or a comparable degree.
- Overall, 8-12 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.
- In-depth understanding of data integration and ETL processes across SAC, Datasphere, and other analytics platforms.
- Advanced scripting abilities in SQL, Python,



and JavaScript to enable data manipulation and automation within both SAC and Datasphere environments.
- Experience with SAC scripting for creating custom widgets and analytics applications, as well as automating data flows in Datasphere.
- Understanding of SAP related Finance and/or Operations processes will be valued.
- Certification in one or more of the following will be appreciated: SAC Data Analyst, Data Engineer, Low-Code/No-Code Developer.
- Excellent communication skills and ability to work in an Agile environment.
- Energetic, organised and self-motivated.
- Fluent in business English.

Main duties and responsibilities The role will be responsible for the following activities:

- 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 robust 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.
- Collaborate with cross-functional teams, contributing to the solution design and integration of SAC and Datasphere in end-to-end business processes.

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