SAP Analytics Cloud (SAC) Consultant

KDNI_SAP SAC_ Consultant

Key Responsibilities

• Design and build SAC stories, dashboards, and planning models using live and import data connections.
• Gather business requirements and translate them into SAC solutions for reporting and planning.
• Configure SAC planning models, allocations, advanced formulas, and predictive analytics.
• Integrate SAC with SAP BW/4HANA, S/4HANA, and non-SAP systems.
• Optimize performance and ensure data consistency across models.
• Conduct UAT, troubleshoot issues, and provide post-implementation support.
• Train business users on SAC functionalities and promote adoption.
• Stay updated on SAC predictive capabilities, augmented analytics, and best practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 5+ years in SAP BI/Analytics with at least 2–3 years in SAC development.
• Hands-on experience in SAC Planning, Reporting, and Predictive features.
• Strong knowledge of SAC architecture, data models, and integration with BW/4HANA and S/4HANA.
• Proficiency in scripting (Advanced Formulas, JavaScript in SAC).
• Excellent communication and problem-solving skills.
• Ability to work with global teams and manage multiple priorities.

Preferred Skills

• SAP SAC certification.
• Experience with SAP BPC, Datasphere, and HANA modeling.
• Familiarity with predictive planning and AI-driven analytics.

Key Responsibilities

• Design and build SAC stories, dashboards, and planning models using live and import data connections.
• Gather business requirements and translate them into SAC solutions for reporting and planning.
• Configure SAC planning models, allocations, advanced formulas, and predictive analytics.
• Integrate SAC with SAP BW/4HANA, S/4HANA, and non-SAP systems.
• Optimize performance and ensure data consistency across models.
• Conduct UAT, troubleshoot issues, and provide post-implementation support.
• Train business users on SAC functionalities and promote adoption.
• Stay updated on SAC predictive capabilities, augmented analytics, and best practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 5+ years in SAP BI/Analytics with at least 2–3 years in SAC development.
• Hands-on experience in SAC Planning, Reporting, and Predictive features.
• Strong knowledge of SAC architecture, data models, and integration with BW/4HANA and S/4HANA.
• Proficiency in scripting (Advanced Formulas, JavaScript in SAC).
• Excellent communication and problem-solving skills.
• Ability to work with global teams and manage multiple priorities.

Preferred Skills

• SAP SAC certification.
• Experience with SAP BPC, Datasphere, and HANA modeling.
• Familiarity with predictive planning and AI-driven analytics.

Key Responsibilities

• Design and build SAC stories, dashboards, and planning models using live and import data connections.
• Gather business requirements and translate them into SAC solutions for reporting and planning.
• Configure SAC planning models, allocations, advanced formulas, and predictive analytics.
• Integrate SAC with SAP BW/4HANA, S/4HANA, and non-SAP systems.
• Optimize performance and ensure data consistency across models.
• Conduct UAT, troubleshoot issues, and provide post-implementation support.
• Train business users on SAC functionalities and promote adoption.
• Stay updated on SAC predictive capabilities, augmented analytics, and best practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 5+ years in SAP BI/Analytics with at least 2–3 years in SAC development.
• Hands-on experience in SAC Planning, Reporting, and Predictive features.
• Strong knowledge of SAC architecture, data models, and integration with BW/4HANA and S/4HANA.
• Proficiency in scripting (Advanced Formulas, JavaScript in SAC).
• Excellent communication and problem-solving skills.
• Ability to work with global teams and manage multiple priorities.

Preferred Skills

• SAP SAC certification.
• Experience with SAP BPC, Datasphere, and HANA modeling.
• Familiarity with predictive planning and AI-driven analytics.

Experience Level

Senior Level