Senior SAP Analytics Cloud Lead – Remote AI-Driven Insights

Psybergate

Gauteng

Remote

ZAR 900,000 - 1,200,000

Full time

2 days ago
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Job summary

Psybergate is seeking a skilled SAP Analytics Cloud specialist to design, implement and optimise planning, forecasting and reporting solutions across enterprise SAC landscapes. You will build dashboards, analytical apps and models aligned with business requirements, while ensuring scalable, high-performance data architectures.

You will collaborate with cross-functional teams to integrate SAC with BW/4HANA, Datasphere and S/4HANA, and leverage AI capabilities to deliver advanced insights and user

Qualifications

  • SAC Certification mandatory.
  • Strong hands-on experience with SAC Planning and Forecasting implementations.
  • Proven experience developing and supporting SAC Stories, Applications, Models and Analytic Applications.
  • Strong experience with SAC Advanced Formulas and Data Actions.
  • Strong scripting experience within SAC Analytic Applications and Optimized Stories.
  • Experience with Virtual Data Models / Virtual Data Sources and live connectivity architectures.
  • Experience with Analysis for Office (AFO).
  • Experience with Just Ask and AI-driven analytics capabilities within SAC.
  • Experience leveraging Joule and AI-powered analytics functionality within SAP solutions.
  • Strong understanding of SAC integration with BW/4HANA and S/4HANA.
  • Ability to translate complex business requirements into scalable planning, analytics and reporting solutions.
  • Strong understanding of enterprise analytics architecture and SAP reporting environments.
  • Experience across solution design, development, testing, deployment and production support.
  • Strong analytical, problem-solving and technical troubleshooting capabilities.
  • Ability to work independently under limited supervision and take ownership of complex technical deliverables.
  • Strong stakeholder engagement and communication skills.
  • Ability to provide technical guidance and mentor other team members.

Responsibilities

  • Design and implement SAC planning, forecasting and budgeting solutions.
  • Develop dashboards, stories and analytical applications aligned to business and financial requirements.
  • Design and optimise SAC planning models, versions, allocations, data actions and advanced formulas.
  • Develop and maintain SAC scripting solutions within Analytic Applications and Optimized Stories.
  • Model and optimise data within SAC for performance, scalability and usability.
  • Design and implement virtual data sources, live data connections and federated analytics architectures.
  • Integrate SAC with SAP BW/4HANA, SAP Datasphere, SAP HANA Cloud and S/4HANA environments.
  • Develop and maintain SAP Datasphere data models and end-to-end analytics solutions where applicable.
  • Support planning and forecasting capabilities aligned to business processes and financial requirements.
  • Leverage Just Ask, Joule and AI-assisted analytics capabilities to improve business insights and user experience.
  • Support AI-driven analytics, natural language querying and intelligent search capabilities within the SAP analytics landscape.
  • Develop and support Analysis for Office (AFO) workbooks and reporting solutions.
  • Support migration and modernisation initiatives from legacy SAP BI, BOBJ and AFO solutions to SAC.
  • Provide technical input into enterprise analytics architecture and SAP reporting strategy.
  • Translate business requirements into scalable planning, reporting and analytics solutions.
  • Work closely with Project Managers, Business Teams and SAP Functional Consultants to design and deliver solutions.
  • Perform solution design, development, testing, deployment and implementation activities across project lifecycles.
  • Investigate and resolve complex production incidents relating to SAC, planning and analytics solutions.
  • Monitor application and solution performance and identify opportunities for continuous improvement.
  • Act as a technical integration specialist across SAC, Datasphere, BW/4HANA and related SAP technologies.
  • Provide technical leadership on planning, forecasting and analytics design decisions.
  • Consult on SAP Analytics Cloud best practices, governance, standards and reusable solution patterns.
  • Provide input and oversight into testing, deployment and implementation activities.
  • Identify and manage technical dependencies, risks and potential impacts across projects and strategic programmes.
  • Drive problem resolution and continuous improvement across the SAP analytics environment.
  • Operate with limited supervision while taking ownership of technical deliverables and priorities.
  • Coach and mentor team members in SAC, planning, forecasting, Datasphere and SAP analytics technologies.
  • Prepare and maintain technical specifications, process documentation, test scripts, user documentation and training material.
  • Share knowledge and promote best practices across the SAP Analytics community.
  • Contribute to the development of analytics standards, governance frameworks and reusable assets.
  • Continually develop expertise in SAC, Datasphere, AI capabilities, Business Data Cloud and emerging SAP analytics technologies.

Skills

SAC Certification
SAC Planning & Forecasting
SAC Stories & Applications
SAC Advanced Formulas
SAC Scripting
Virtual Data Models / Live Connect
AFO (Analysis for Office)
SAC Data Actions

Education

Relevant IT, Computer Science or Information Systems qualification

Tools

SAP Analytics Cloud (SAC)
SAP Datasphere
SAP BW/4HANA
SAP HANA Cloud

Job description

Psybergate is seeking a skilled SAP Analytics Cloud specialist to design, implement and optimise planning, forecasting and reporting solutions across enterprise SAC landscapes. You will build dashboards, analytical apps and models aligned with business requirements, while ensuring scalable, high-performance data architectures.

You will collaborate with cross-functional teams to integrate SAC with BW/4HANA, Datasphere and S/4HANA, and leverage AI capabilities to deliver advanced insights and user

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