AI SAP BW Consultant
Indexed description
Some of your Benefits
Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
Meal Allowance: We offer an allowance that makes meals more affordable.
Flexible Work Models: We allow for flexible work models to ensure both professional and personal success.
Easily Reachable: Easy, low-stress access by car or public transport.
Corporate Events: We celebrate success as a team, because only together can we achieve our goals.
Brasov
Romania - Remote
Remote
Freudenberg Business Services SRL
You support our team as
AI SAP BW Consultant
Responsibilities
- Design and implement scalable data products using SAP BW/4HANA and SAP BW on HANA with an end-to-end solution design.
- Develop and maintain advanced BW data models including ADSOs, CompositeProviders, Open ODS Views, InfoProviders, and BW queries.
- Build end‑to‑end data flows covering data extraction, transformation, and loading from SAP and non‑SAP source systems.
- Integrate AI‑driven logic and predictive capabilities into BW processes and analytical layers where applicable.
- Design, build, and optimize SAP Analytics Cloud models, stories, dashboards, and planning applications.
- Ensure data quality, governance, metadata management, and lifecycle management for BW and SAC artifacts.
- Collaborate with business stakeholders to translate requirements into scalable BW data models and SAC analytics solutions.
- Implement performance optimization strategies for BW objects, queries, and SAC front‑end consumption.
- Design and implement security, authorization, and compliance concepts in BW and SAC (roles, data access, auditability).
- Support DevOps and CI/CD processes for BW transports and SAC content deployment, including testing and release management.
- Extensive experience with SAP BW/4HANA or SAP BW on HANA, including advanced modeling and LSA++ / EDW concepts.
- Strong understanding of SAP data extraction techniques, including ODP, CDS Views, S/4HANA extractors, and external data sources.
- Proven experience designing high‑performance BW data models and end‑to‑end data flows.
- ETL design & operations-by-design — Process Chains, DTP tuning, error handling & recovery.
- Solid understanding of SAP authorization concepts, data privacy, and secure data access patterns.
- Strong proficiency in SAP Analytics Cloud (SAC) for reporting, dashboarding, planning, predictive scenarios, and data modeling.
- Hands‑on experience with SAC Data Actions, Advanced Formulas, and planning logic.
- Experience integrating AI/ML models or external AI services into BW or SAC‑based analytics use cases.
- Familiarity with data governance, metadata management, and lineage concepts in analytics environments.
- Ability to work with cross‑functional teams and translate business requirements into end‑to‑end analytics solutions..
- Experience with SAP Datasphere and hybrid BW / Datasphere architectures.
- Knowledge of SAP BTP services relevant to analytics and data integration.
- Experience integrating SAC with non‑SAP data sources.
- Exposure to agile delivery models, DevOps practices, and test automation in SAP analytics projects.
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