Senior SAP Analytics & AI Consultant

This is a fully remote position, open to applicants in Germany.

📋 Description

• Provide guidance to clients on the design and continued evolution of contemporary data, analytics, and business intelligence solutions.

• Create data architectures utilizing SAP BW/4HANA, SAP Datasphere, SAP HANA Cloud, and SAP Business Technology Platform.

• Design and execute reporting, dashboarding, planning, and forecasting solutions using SAP Analytics Cloud.

• Construct data models, data flows, as well as ETL and ELT processes.

• Integrate data sources from both SAP and non-SAP systems.

• Assist in the modernization of existing BW landscapes.

• Support transformation and migration initiatives.

• Develop analytical solutions with S/4HANA Embedded Analytics, CDS Views, and Analytical Queries.

• Recognize significant use cases for Artificial Intelligence, Generative AI, Predictive Analytics, and intelligent automation.

• Create specific analytics and AI use cases for forecasting, planning, anomaly detection, and data-driven decision-making.

• Conduct workshops and convert business requirements into technical solutions.

• Assume responsibility for work packages and architectural choices.

• Enhance the organization’s analytics capabilities.

⛳️ Requirements

• Several years of experience in SAP analytics, business intelligence, or data warehousing.

• Strong expertise in SAP BW or SAP BW/4HANA.

• Experience in data modeling and reporting solutions.

• Good understanding of SAP HANA, SQL, and preferably SQLScript.

• Experience with data integration, interfaces, and contemporary analytics architectures.

• Familiarity with S/4HANA and its analytical functions.

• Analytical, structured, and solution-oriented mindset.

• Ability to articulate complex technical concepts in a clear manner.

• Willingness to work autonomously and take ownership of responsibilities.

• Interest in emerging technologies and ongoing professional growth.

• Eagerness to share knowledge with clients and peers.

• Experience in the energy sector is advantageous but not mandatory.

• Knowledge of SAP IS-U or SAP S/4 Utilities, energy data management (EDM), market communication, smart metering, billing and invoicing, regulatory reporting, or transformation and migration projects for energy suppliers is beneficial.

• Familiarity with Microsoft Fabric, Databricks, Snowflake, Power BI, Python, and Machine Learning is optional.

🏝️ Benefits

• Permanent employment contract.

• 30 days of annual leave.

• Approximately 90% remote work.

• Predictable travel requirements instead of ongoing on-site client assignments.

• Flexible working hours and a trust-based working time model.

• Individual training and certification opportunities.

• Possibility to drive innovation, research, and explore new technologies.

• Opportunity to contribute to the establishment of new areas of expertise.

• A culture of humanity and trust.

• Genuine collaboration rather than working in isolation.

• An open feedback and learning culture.

• Scope for initiative and short decision-making processes.

• Workation opportunities.

• Epassi fitness and wellbeing platform.

• E-bike leasing options.

• Company pension scheme.

• Supplementary health insurance.

• Transparent career and salary progression models.

• Regular team events.