SAP Datasphere & SAC Specialist (all genders)
RHI MagnesitaAbout the role
Vienna | Full-time
Your position
As an SAP Datasphere & SAC Specialist at RHI Magnesita, you will be part of a global team of data engineers and data experts who report to the Head of Data & Analytics Delivery. Your focus lies in the design, implementation and maintenance of Analytics solutions with a focus on SAP Datasphere and SAP Analytics Cloud. You will collaborate with both internal business partners and external support partners.
Your tasks
- Collaborating with internal clients & understanding business needs
Working closely with internal stakeholders to gather requirements, understand business processes, and develop domain expertise for effective data solutions.
- Designing & implementing analytics solutions
Developing and deploying analytics solutions in SAP Datasphere in cooperation with internal data engineers and external consultants, ensuring alignment with business objectives.
- Enabling data integration & self-service reporting
Setting up and managing data transfers between SAP Datasphere, Microsoft Azure, and Databricks to ensure seamless data flow and enable self-service reporting with Power BI and SAC.
- Define standards & foster knowledge sharing
Establishing modeling guidelines, naming conventions, and documentation standards for SAP Datasphere while promoting internal knowledge-sharing and best practices.
- Maintaining & monitoring implemented solutions
Taking ownership of newly implemented solutions, ensuring their stability, performance, and reliability through continuous monitoring and maintenance.
Your profile
- Technical expertise & experience
- Strong experience in SAP BI solutions (SAP BW, SAP Datasphere, SAP Analytics Cloud), with a solid understanding of data modeling, integration, and reporting
- Strong problem-solving skills with a structured and detail-oriented approach to data challenges
- Ability to translate business requirements into data solutions and analytics models
- Collaboration & communication
- Excellent communication skills to work effectively with internal stakeholders and external partners
- Team-oriented mindset with the ability to explain complex data concepts to non-technical audiences
- Proactive & ownership-driven mindset
- Self-motivated, eager to take ownership of projects, and committed to continuous learning.
- Strong focus on quality, performance, and ensuring best practices in data and analytics.
Languages: English – fluent
Nice to have: Experience with Microsoft Azure, Databricks &
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