SAP COE A&R Professional

The SAP BW Analytics & Reporting (A&R) Professional is responsible for architecting, developing, and delivering enterprise analytics solutions using SAP BW/4HANA, SAP BW on HANA, SAP S/4HANA, SAP Data Service Provider (DSP), SAP Business Technology Platform (BTP), and SAP Analytics Cloud (SAC). The role ensures end‑to‑end data consistency, high performance, and reliability across business‑critical reporting processes in hybrid cloud landscapes. Goal of function: The SAP BW Analytics & Reporting Professional ensures high‑quality, accurate, and timely analytics capability by designing robust BW data models, optimizing cross‑system data flows, and enabling seamless integration with S/4HANA, BTP, DSP, BDC, SAC, and downstream analytical consumers.  The role also supports the organization’s move toward cloud modernization by leveraging hyperscaler capabilities (AWS, Azure, GCP) to enhance performance, scalability, and integration flexibility. Key objectives include: Delivering scalable and high‑performance BW/4HANA models Strengthening analytics integration with S/4HANA, BTP, DSP, SAC, and hyperscaler services Ensuring consistency, integrity, and traceability of enterprise reporting Ensuring operational stability across business cycles (including month‑end) Preparing for future analytics architectures through moderate exposure to Business AI, ABAP Cloud, and RAP Career Path                                                                                      Please specify from Senior level on:  No allocation because below Senior level        Expert career   Project Management career     Line Management career Tasks*

1. Main tasks: Design, develop, and optimize SAP BW/4HANA data models (ADSOs, CompositeProviders, Transformations, DTPs). Lead end‑to‑end integration between SAP BW and S/4HANA using CDS Views, ODP, OData, and embedded analytics. Ensure seamless reporting integration with DSP datasets, BDC data flows, and SAC Live/Import models. Enhance data integration leveraging SAP BTP services, including OData APIs, Integration Suite, and cloud connectors. Support and troubleshoot BW data loads, process chains, authorizations, and performance issues. Develop, validate, and optimize SAC stories, dashboards, and analytical applications. Use hyperscaler capabilities (e.g., AWS S3, Azure Data Lake, GCP Storage) for data exchange, logging, staging, or analytics enablement where applicable. Conduct impact analysis for S/4, DSP, BTP, SAC, and BW model changes. Ensure data quality, auditability, governance compliance, and secure handling of sensitive data. Maintain detailed and accurate technical documentation for BW and reporting artifacts.
2. Secondary tasks: Collaborate closely with S/4, DSP, BTP, SAC, Basis, and Security teams to ensure consistent analytics architecture. Guide business SMEs and technical teams on best practices for reporting, data lineage, and analytics architecture. Provide support during testing cycles, deployments, and hypercare. Contribute to analytics modernization and cloud‑integration initiatives.
3. Miscellaneous tasks: Participate in cloud‑based or hybrid analytics initiatives involving hyperscalers and BTP. Support exploratory projects involving Business AI, predictive analytics, and modern cloud ERP extensibility models. Support global rollouts, version upgrades, and platform‑wide analytics improvements. Organization* The function incumbent reports to: Organizational unit: GBS ITS SAP COE IT Tool / Automation Expert

GBS ITS SAP COE Important internal interfaces: Important external interfaces: SAP S/4HANA teams (functional and technical) DSP / Data Integration teams SAP Basis, Security, Infrastructure SAC & Analytics teams Finance, Supply Chain, Commercial, Operations stakeholders SAP and cloud implementation partners Hyperscaler vendors (AWS, Azure, GCP) Analytics and data integration service providers Representation Rules* The function incumbent is represented by: The function incumbent represents: Please list the function title of the deputy Please list the function title of the position Key Performance Indicators Timeliness and accuracy of BW and SAC reporting outputs Stability and performance of BW data loads and queries Successful integration with S/4HANA, BTP, DSP, and hyperscaler services Reduction in analytics incidents and data-quality issues User satisfaction and adoption rates Timely delivery of reporting enhancements and change requests Scope of Responsibility Budget: Disciplinary management responsibility: Line cost centre:         yes       no Project budget:           yes        no  yes        no Technical management responsibility: yes        no                              

Authority to give instructions and make decisions Technical and/or disciplinary authority of the function (if applicable):

Incumbent’s authority to provide information, make suggestions and reach sole or joint decisions (if applicable):

Qualifications, experience, know-how and skills critical for success*

1. Required training and education: Bachelor’s degree in Information Technology, Computer Science, Engineering, Data/Analytics, or related field Master’s degree desirable
2. Required professional experience (in years): 12–15+ years hands‑on experience in SAP BW/4HANA and BW on HANA Strong experience integrating BW with S/4HANA, DSP, BDC, SAC, and SAP BTP Practical exposure to hyperscaler‑based integration patterns (Azure, AWS, GCP) Proven experience in large-scale, global SAP reporting environments
3. Important personal qualities: Strong analytical and conceptual thinking High attention to data integrity and correctness Clear communicator with strong collaboration skills Structured, independent, and proactive working style
4. Other specialized knowledge: a) Technical knowledge Strong Requirements SAP BW/4HANA modelling and optimization SAP S/4HANA data structures, CDS Views, and embedded analytics SAP BTP services (Integration Suite, OData APIs, connectivity) DSP data structures and integration BDC integration and reconciliation methods SAP Analytics Cloud (SAC) – Live & Import models, performance tuning HANA SQL, SQLScript, and ABAP debugging Use of hyperscaler services for analytics (AWS S3, Azure Blob/Data Lake, GCP Storage) Modern Requirements Business AI concepts in SAP analytics ABAP Cloud & RAP-based extensibility Cloud ERP reporting paradigms Predictive and augmented analytics (SAC) b) Languages Fluent English (Required) Additional languages beneficial c) IT skills Strong data lineage, reconciliation, and investigation skills across S/4, BW, DSP, BTP, and SAC Understanding of cloud integration patterns using hyperscalers Familiarity with analytics governance, metadata management, and security concepts d) Product knowledge Deep understanding of SAP BW/4HANA and BW on HANA modelling principles, including ADSO layers, harmonization layers, consumption layers, and the application of LSA++ concepts where appropriate. Strong knowledge of SAP S/4HANA operational data structures, CDS Views, OData services, and embedded analytics. Practical experience working with SAP Data Service Provider (DSP) including semantic models, dataset governance, lineage, versioning controls, and integration patterns with BW, SAC, and downstream analytics. Experience with Business Data Cloud (BDC) datasets, including ingestion flows, reconciliation requirements, and usage in enterprise reporting. Extensive SAP Analytics Cloud (SAC) knowledge, including: Live and Import data models Story and Dashboard design Analytical Applications SAC Data Analyzer for federated, ad‑hoc analysis SAC Workbooks (aka SAC Workbook Designer) used for formatted, complex reporting SAC Add‑In for Microsoft Excel for hybrid SAC/BW/S/4 analytics scenarios

Familiarity with SAP BTP services (Integration Suite, OData provisioning, API Management, Cloud Connector). Working knowledge of hyperscaler services (AWS S3, Azure Blob/Data Lake, GCP Storage) for staging, file exchange, hybrid reporting flows, or data acquisition. Knowledge of SAP ChaRM (Change Request Management) including transport workflows, versioning, documentation requirements, and controlled promotion of analytics (BW, SAC, DSP, S/4) changes across environments. Experience with cloud ERP extensibility, including ABAP Cloud, RAP, and side-by-side extension practices. Moderate exposure to Business AI and augmented analytics capabilities (Predictive Planning, Smart Insights, Smart Discovery). Understanding of downstream analytic consumer tools and interfaces (e.g., Sievo, external BI tools, data lakes). 5) Special personal requirements: Availability during month‑end, quarter‑end, and critical deployment windows Flexibility to collaborate across time zones Occasional travel as required