Senior SAP Datasphere Consultant

Additional information
The role focuses on designing and developing data models in SAP Datasphere using data from multiple sources such as SAP BW/4HANA and Snowflake. The person in this position is responsible for integrating, transforming, and preparing financial data for analytics and reporting tools including SAP Analytics Cloud, Tableau, and ThoughtSpot. A key part of the role involves supporting the migration of existing BI/BW solutions to a modern cloud-based Datasphere environment. The position also requires close collaboration with business stakeholders, analysts, and AI teams to deliver consistent and high-quality data for financial reporting and planning processes. Additionally, the role includes ensuring data governance, compliance with enterprise standards, and the stability of solutions within a global corporate environment.

You’re ideal for this role if you:

• Have strong experience with SAP Datasphere, SAP BW/4HANA, and enterprise data modeling

• Understand data integration and transformation processes across complex cloud environments

• Are confident working with Snowflake, SQL, and analytical data platforms

• Have experience supporting finance, reporting, or planning solutions in global organizations

• Can collaborate effectively with both technical teams and business stakeholders

• Take ownership of solutions from requirements gathering through deployment and support

• Are comfortable working in Agile/DevOps environments and adapting to dynamic business needs

Your day-to-day responsibilities include:​

• Designing and developing analytical data models in SAP Datasphere using data from multiple enterprise sources

• Integrating, transforming, and validating data to support financial reporting, planning, and analytics processes

• Supporting the migration of existing SAP BW/BI solutions into modern cloud-based architectures

• Collaborating with Finance stakeholders, AI teams, and platform teams to deliver reliable and business-ready datasets

• Ensuring data quality, governance, and compliance with enterprise standards across the analytics environment

• Supporting analytics tools such as SAP Analytics Cloud, Tableau, and ThoughtSpot by providing optimized data models

• Participating in Agile ceremonies, troubleshooting production issues, and supporting critical business periods when required