Location
In office (Johannesburg)
Seniority
Middle · 4+ years exp
Visa
Sponsors visas in United Kingdom; no register of this country names it
Employment
Full-Time
First seen by Alion on Oct 27, 2026.
Overview
Company
Impact
Profile match
Monocle is a global briefing covering international affairs, business, design and culture through a magazine, radio station and website.
- Monocle is seeking a skilled and driven SAP BW Consultant to support and lead the design, development, and delivery of enterprise data warehousing and analytics solutions within the financial-services sector. In this role, you will contribute to large-scale transformation initiatives by enabling robust data integration, reporting, and analytics capabilities across SAP landscapes.
- You will play a key role in designing and implementing SAP BW related data solutions, ensuring that business-critical financial and operational data is accurate, accessible, and aligned with regulatory and reporting requirements. Leveraging your technical expertise and understanding of financial-services processes, you will support clients in building scalable, high-performance data platforms that enable data-driven decision making.
- As an SAP BW Consultant, you will collaborate closely with business stakeholders, data engineers, and technical teams to translate complex requirements into effective data models and reporting solutions. Your work will directly contribute to enhancing data quality, governance, and analytics maturity across our client organisations.
Tasks and responsibilities include but are not limited to:
- Design, develop, and maintain SAP BW/4HANA data models, including InfoProviders (ADSO, Composite Providers) and data flows.
- Build and optimize ETL processes using SAP BW tools and SAP Data Services or similar integration technologies.
- Develop and maintain SAP reporting solutions (e.g. BEx, SAP Analytics Cloud, Power BI integration).
- Collaborate with business stakeholders to gather and translate reporting and analytics requirements into technical specifications.
- Support data modelling activities, including schema design, data harmonisation, and performance optimisation.
- Ensure data accuracy, consistency, and completeness through validation, reconciliation, and testing processes.
- Contribute to data migration, integration, and transformation initiatives across SAP and non-SAP systems.
- Assist in implementing data governance, metadata management, and data lineage frameworks.
- Troubleshoot and resolve technical issues related to data loads, performance, and reporting outputs.
- Support system upgrades, enhancements, and migration initiatives (e.g. SAP BW to BDC transitions).
- Collaborate across project teams, including finance, risk, IT, and architecture, to ensure aligned and integrated solutions.
- Produce clear technical documentation, including data models, ETL logic, and reporting specifications.
- Participate in testing cycles (unit, SIT, UAT) and support business users during validation phases.
- Provide input into best practices and continuous improvement initiatives within the SAP data landscape.
- Stakeholder and client management.
The successful candidate must have:
- 4–8+ years of experience in SAP BW/BW/4HANA within financial services (Banking/Insurance/Consulting) is beneficial.
- Strong hands-on experience in SAP BW data modelling (InfoObjects, ADSOs, Composite Providers, Open ODS Views).
- Proven experience with ETL processes and SAP data integration tools (e.g. SAP BW ETL, SAP Data Services, SLT).
- Experience working with SAP HANA and performance optimisation techniques.
- Exposure to reporting and analytics tools (e.g. SAP Analytics Cloud, BEx, Power BI, Tableau).
- Understanding of financial services data models and regulatory reporting requirements is beneficial.
- Proven ability to work with stakeholders to translate business requirements into technical solutions.
- Relevant bachelor's degree, with a strong preference for a postgraduate qualification.
- SAP certifications (e.g. SAP BW/4HANA, SAP HANA, SAP Business Data cloud) are advantageous.
- Experience with data governance, data quality, and data architecture principles.
- Strong problem-solving skills and ability to work in fast-paced project environments.
- A results-driven approach and a readiness to embrace change, overcome challenges, and deliver on complex projects.
- Abap coding or SQL is highly beneficial.
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