SAP Datasphere Consultant

๐Ÿข Monocle Solutions ยท all Monocle Solutions jobs
๐Ÿ“ South Africa
๐Ÿ“… Posted 2026-08-20 ยท via Himalayas
๐Ÿท SAP-Consulting,Data-Engineering,Business-Analysis,Management-Consulting,SAP-Datasphere-Consultant,SAP-Datasphere-Specialist,SAP-Datasphere-Consultant-With-German-Skills,SAP-DataSphere-Developer,SAP-Data-Warehouse-Consultant,SAP-Consultant
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At Monocle, we believe work is more than a job. It is a chance to make a difference in the world of finance. An opportunity to fulfil your potential. To make friendships with ambitious, positive, like-minded people. To gain invaluable industry experience and learn critical skills that will make you a highly sought-after management consultant. Monocle is a people-centric, independent consulting firm, specializing in banking and insurance. We understand that our greatest asset is our people, and because of this, we do things a bit differently. Monocle is seeking a motivated and analytical SAP Datasphere Consultant to support the design, implementation, and optimisation of modern data management and analytics solutions. In this role, you will work closely with clients to understand their business processes and data needs, contributing to the delivery of scalable, cloud-based data platforms aligned with SAP's Business Data Cloud strategy. You will play a key role in configuring and customising SAP Datasphere solutions, ensuring seamless data integration, governance, and accessibility across enterprise systems. You will support clients through their digital transformation journeys by delivering high-quality data models, robust data pipelines, and actionable insights that enable informed decision-making. Working alongside senior consultants and cross-functional teams, you will contribute to project delivery from planning through to execution, ensuring solutions are delivered on time, within budget, and to the highest standards. Your ability to combine technical expertise with strong business analysis skills will enable you to translate complex requirements into effective and sustainable data solutions Tasks and responsibilities include, but are not limited to: - Work with clients to understand business processes, data landscapes, and analytical requirements. - Configure and customise SAP Datasphere solutions to meet client needs. - Support the development of data models, including data integration, transformation, and harmonisation across SAP and non-SAP systems. - Troubleshoot technical issues and provide ongoing support and optimisation for client environments. - Collaborate closely with senior consultants and project teams to ensure successful delivery of client engagements. - Participate in project planning, implementation, and delivery activities. - Document project scope, including functional and technical design specifications. - Translate business requirements into technical solutions using strong business analysis capabilities. - Ensure data quality, consistency, and integrity across all implemented solutions. - Provide regular updates and clear communication on project progress to stakeholders and team members. - Support testing activities (unit testing, system integration testing, and user acceptance testing). - Stay up to date with SAP Datasphere advancements, features, and best practices. - Ensure high levels of client satisfaction throughout project lifecycles, including managing expectations, resolving conflicts, and supporting stakeholder engagement. - Contribute to continuous improvement initiatives within the SAP data and analytics landscape. The successful candidate must have: - 3+ years of experience in data modelling and data cleansing. - Exposure to SAP ERP modules such as SD, MM, FICO, HCM, or PS is highly beneficial. - Working knowledge or exposure to SAP Datasphere or similar data platform technologies is advantageous. - Experience with SQL, Python, or other programming languages. - Exposure to business analysis and requirements gathering (1+ years preferred). - Experience with SAP BW implementation projects is advantageous. - Strong understanding of data management principles, including data quality and governance. - Proven ability to analyse business requirements and translate them into technical solutions. - Bachelor's degree in Computer Science, Information Systems, or a rel

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