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 endtoend data consistency high performance and reliability across businesscritical reporting processes in hybrid cloud landscapes.

Goal of function:

The SAP BW Analytics & Reporting Professional ensures highquality accurate and timely analytics capability by designing robust BW data models optimizing crosssystem data flows and enabling seamless integration with S/4HANA BTP DSP BDC SAC and downstream analytical consumers.
The role also supports the organizations move toward cloud modernization by leveraging hyperscaler capabilities (AWS Azure GCP) to enhance performance scalability and integration flexibility.

Key objectives include:

• Delivering scalable and highperformance 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 monthend)
• 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 endtoend 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 cloudintegration initiatives.

3) Miscellaneous tasks:

• Participate in cloudbased 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 platformwide 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):

Incumbents 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:

• Bachelors degree in Information Technology Computer Science Engineering Data/Analytics or related field
• Masters degree desirable

2) Required professional experience (in years):

• 1215 years handson 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 hyperscalerbased 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 adhoc analysis
  • SAC Workbooks (aka SAC Workbook Designer) used for formatted complex reporting
  • SAC AddIn 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 monthend quarterend and critical deployment windows
• Flexibility to collaborate across time zones
• Occasional travel as required