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Freudenberg Group

Senior AI SAP BW Consultant

Freudenberg Group

SAP BW Senior Professional Consultant designing and implementing data products using SAP BW/4HANA and BW on HANA. Collaborating with stakeholders to create data models and analytics solutions.

Posted 7/10/2026full-timeRemote • 🇷🇴 RomaniaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data products using SAP BW/4HANA and SAP Analytics Cloud, with a strong focus on data modeling, governance, and integration of AI-driven capabilities. Proven ability to collaborate with stakeholders to translate business requirements into effective analytics solutions.

Highest-signal resume keywords
SAP BW/4HANASAP Analytics Cloud (SAC)Data Extraction TechniquesETL Design & OperationsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Advanced BW Data ModelsADSOsCompositeProvidersOpen ODS ViewsBW QueriesProcess ChainsDTP TuningS/4HANA ExtractorsAI/ML IntegrationData Actions
Soft Skills
CollaborationCross-Functional TeamworkRequirement Translation
Tools & Technologies
SAP BTPSAP DatasphereDevOps PracticesCI/CD ProcessesTest Automation
Industry Keywords
Data QualityMetadata ManagementLifecycle ManagementSecurity ConceptsCompliance Concepts

Tech Stack

Tools & technologies
CloudETL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities