Qualifications & Experience:

• Minimum of 4 years of hands-on experience with SAP Analytics Cloud (SAC), with a strong track record in implementing and managing SAC solutions.
• Proficiency in SAC functionalities across Planning, Predictive, and BI modules.
• Proficiency in Data Visulaization, Planning and predictive Analytics, Data Modeling
• Solid understanding of dashboard design and performance best practices.
• Experience in managing security and access controls within SAC
• Exposure to integration with SAP Datasphere, SAP BW/4HANA, SAP HANA, or other database
• Proven experience in leading or managing teams in SAC implementations.
• Knowledge of other analytical tools such as Power BI, Tableau, WebI, or Analysis for Office is a plus

Key Responsibilities:

• Utilize extensive knowledge of SAP Analytics Cloud functionalities, including Planning, Predictive, and Business Intelligence (BI) modules.
• Interact with data analysts and end-users to understand business requirements, and develop prototypes and wireframes to demonstrate solutions
• Apply advanced data visualization techniques and storytelling capabilities to create compelling and insightful dashboards and reports.
• Ensure adherence to design and performance best practices to deliver effective and high-performing dashboards.
• Develop and manage planning data models within SAC, working with categories such as actual, budget, planning, forecast, and rolling forecast.
• Leverage SAC’s predictive analytics features, including Smart Assist and Smart Predict, to enhance forecasting and decision-making processes.
• Design and implement complex data models in SAC, incorporating both Live and Acquired data from various sources.
• Manage integration with SAP Datasphere, SAP BW/4HANA, SAP HANA, and other databases to ensure seamless data flow and accuracy.
• Oversee security and access controls within SAC, ensuring data privacy and appropriate access levels for different user roles
• Lead and manage teams involved in SAC implementations, providing guidance and support throughout the project lifecycle.
• Oversee project timelines, deliverables, and client interactions to ensure successful implementation and client satisfaction.
• Familiarity with other analytical tools such as Power BI, Tableau, WebI, Analysis for Office, or similar platforms is advantageous