Role Overview: As a SAC Consultant within the KPMG Delivery Network (KDN), you will be the lead architect for data visualization and business intelligence. You will transform complex data landscapes into intuitive, high-impact analytics stories and planning models that drive strategic decision-making for our global clients.
Key Responsibilities
- End-to-End Implementation: Lead the full lifecycle of SAC projects, including requirement analysis, data modeling, story creation, and deployment.
- Advanced Analytics: Design and build complex SAC Stories and Digital Boardrooms using advanced features like Linked Analysis, Scripting (Analytics Designer), and Predictive Scenarios.
- Planning & Forecasting: Develop robust SAC Planning models, including Data Actions, Allocation processes, and VDT (Value Driver Trees).
- Seamless Connectivity: Configure and optimize Live and Import data connections between SAC and various sources, including SAP S/4HANA, SAP BW/4HANA, SAP BPC, and non-SAP sources.
- Security & Governance: Define and implement security concepts, including Folder structures, Roles, and Row-level security (DAC).
Requirements & Qualifications
- Experience: Minimum 5 years of professional experience in SAP Analytics, with at least 3 years specifically focused on SAP Analytics Cloud.
- Technical Depth: * Expert knowledge of SAC Data Modeling (Dimensions, Measures, Hierarchies).
- Strong proficiency in Analytics Designer (Custom Widgets and CSS).
- Proven experience in SAC Planning functionalities and integration with SAP BPC or S/4HANA Finance.
- Data Integration: Deep understanding of SAP BW (Queries, InfoProviders) and HANA (Calculation Views) as they relate to SAC.
- Certifications (Preferred): * SAP Certified Application Associate - SAP Analytics Cloud.
- SAP Certified Application Associate - SAP Analytics Cloud: Planning.
Core Competencies for KDN SAC Specialists
- Visual Storytelling: The ability to translate complex data sets into simple, aesthetically pleasing, and actionable dashboards.
- Consulting Agility: Comfortable working with Australian and Global Domain Leads to refine requirements in an agile, fast-paced delivery model.
- Problem Solving: Ability to troubleshoot performance issues in live connections and optimize data models for speed.
