Location: Remote / Europe preferred

Start: 1st September 2026

Duration: 12 months

Language: English

Context

The client is looking for a senior SAP Reporting & Analytics Consultant to support a large-scale SAP S/4HANA transformation program.

The consultant will be responsible for designing and delivering governed, reusable data products and analytical models using SAP Datasphere, ensuring high-quality enterprise data models that support reporting and analytics across the program.

The primary focus of the role is SAP Datasphere data acquisition, modelling, governance, security and performance optimization. SAP Analytics Cloud (SAC) will be used mainly for data exploration and simple reporting, rather than dashboard design or advanced visualization.

Main Responsibilities

• Design and build end-to-end SAP Datasphere solutions across the defined data layers:
• Inbound
• Harmonization
• Propagation
• Reporting
• Outbound
• Develop reusable enterprise data products following "single source of truth" and "extract once, reuse many times" principles.
• Build and maintain:
• Replication Flows
• Tables
• Graphical Views
• SQL Views
• Fact Models
• Dimension Models
• Analytical Models
• Transformation Flows
• Task Chains
• Collaborate with business stakeholders and functional consultants to translate business requirements into scalable analytical solutions.
• Work closely with ABAP and CDS developers when custom extraction objects are required.
• Model business rules, calculations, hierarchies, master data relationships, snapshots, currency conversion and unit conversion logic.
• Apply appropriate semantic modelling principles including:
• Keys
• Associations
• Cardinalities
• Aggregations
• Filter pushdown
• Implement SAP Datasphere Data Access Controls and align row-level security with SAP S/4HANA authorizations.
• Develop simple SAP Analytics Cloud Data Analyzer views and Story pages to support business reporting needs.
• Perform unit testing, troubleshooting and performance optimization.
• Diagnose performance bottlenecks across extraction, replication, modelling and SAC queries using profiling and analysis tools.
• Produce and maintain technical documentation and design specifications.

Required Technical Skills

SAP Datasphere

• Strong hands-on experience implementing SAP Datasphere
• Enterprise data modelling
• Data Products
• Replication Flows
• Graphical Views
• SQL Views
• Fact and Dimension Models
• Analytical Models
• Transformation Flows
• Task Chains

Data Modelling

• Associations
• Hierarchies
• Semantic modelling
• Business rules
• Master data modelling
• Currency and unit conversion
• Snapshot modelling
• Data governance principles

SAP HANA & Performance

• SAP HANA SQL
• Query optimization
• Performance tuning
• Query profiling
• Large-volume data handling
• Virtualization
• Persistence
• Join optimization
• Cardinality
• Aggregation
• Filter pushdown

Security

• SAP Datasphere Data Access Controls
• Row-level security
• SAP S/4HANA authorization concepts

Reporting

• SAP Analytics Cloud (SAC)
• Data Analyzer
• Story Pages

Profile

• Proven experience delivering SAP Datasphere solutions within enterprise SAP landscapes.
• Strong experience designing reusable data products with a focus on governance, quality and performance.
• Excellent understanding of enterprise data modelling principles and analytical solution architecture.
• Product-oriented mindset with a strong focus on scalability, maintainability and reuse.
• Strong analytical and problem-solving skills.
• Excellent communication and technical documentation skills.
• Comfortable working within globally distributed Agile teams.

Nice to Have

• Experience with SAP Business Data Cloud concepts.
• Experience with Microsoft Fabric, OneLake and Power BI integration or consumption patterns.
• Functional knowledge of SAP Finance, Procurement, Sales, Supply Chain, Logistics or Manufacturing.
• JavaScript and CSS experience for advanced SAP Analytics Cloud functionality.
• Experience working on large international SAP S/4HANA transformation programes.