SAP SAC Professional

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A "SAP - SAC" job description refers to a role focused on implementing, configuring, and managing the SAP Analytics Cloud (SAC) platform, which allows users to design and build interactive dashboards, reports, and planning applications by utilizing data from various sources, including the ability to perform advanced analytics, predictive modeling, and data visualization within a cloud-based environment; essentially, a specialist who helps businesses leverage SAC to gain actionable insights from their data.
Key responsibilities of an SAP SAC job may include:
Requirements Gathering:
Collaborating with business stakeholders to understand their data needs, identify key performance indicators (KPIs), and define the scope of analytics solutions within SAC.
Data Modeling:
Designing data models in SAC, connecting to diverse data sources (SAP ERP, external databases, etc.) and performing data transformations to ensure data quality and integrity for analysis.
Report and Dashboard Development:
Creating interactive dashboards and reports using visualizations like charts, graphs, and tables to present key insights in a user-friendly manner.
Planning and Forecasting:
Implementing planning functionalities within SAC, allowing users to create budgets, forecasts, and perform scenario analysis.
Custom Development:
Utilizing scripting languages within SAC to create custom calculations, logic, and functionalities to meet specific business requirements.
User Training and Support:
Providing training to end users on how to navigate and utilize SAC effectively, troubleshooting issues, and addressing user queries.
Solution Architecture:
Designing the overall SAC solution architecture, considering data integration, security, performance optimization, and scalability.
Required Skills for an SAP SAC role:
Technical Expertise:
Strong understanding of SAP Analytics Cloud features, including data modeling, calculations, visualizations, planning functionalities, and scripting capabilities.
Data Analysis Skills:
Ability to analyze large datasets, identify trends, and interpret results to provide meaningful insights.
Business Acumen:
Understanding of business processes and key metrics relevant to the organization to translate data into actionable insights.
Communication Skills:
Effective communication to gather requirements, present findings, and collaborate with cross-functional team