This is a remote position.
Strong Functional Understanding of SAP Ecosystem: SAP data structures (BW, HANA, S/4HANA), view structures (CDS Views, Analytical Views, Calculation & Composite Views), metadata, and business processes.
Data Integration Concepts: Expertise in integrating and consuming data from SAP Data Catalogue, Datasphere, or enterprise data layers into SAC.
API & Data Connectivity: Hands-on with OData requests, RESTful APIs, troubleshooting API responses, and performance optimization.
SAP Datasphere Expertise: Strong grasp of its architecture, lineage, traceability, and governance practices.
Collaboration & Communication: Ability to work closely with business, architects, and technical teams to align integration discussions.
Documentation & Reusability: Proven ability in creating SAC setup documentation, reusable model patterns, and naming standards.
Hands-on with SAP Analytics Cloud (SAC) – model creation, connections (live/import), story building.
Experience with cross-platform BI tools (Power BI, Tableau, BO) and hybrid BI landscapes.
Understanding of master data & transactional data concepts within SAP.
Exposure to pharmaceutical domain.
Basic scripting knowledge.
Familiarity with reporting foundation assets and reporting model design.
Degree in Computer Science, Software Engineering, or related field.
SAP Certifications (preferred).
Proactive problem solver, anticipates challenges.
Detail-oriented, process-driven, and structured.
Technically curious and adaptable to new SAP technologies.
Strong communicator, bridging business and technical teams.
Collaborative, team-first mindset.
Enterprise-level thinker, ensures scalable & reusable solutions.
Self-starter, able to drive independently with minimal oversight.
Aware of business context behind BRDs, BPMLs, Bus Matrix, and process flows.
Optiveum
Nagarro
Stefanini Brasil
Nagarro
Nagarro
TalentXplore
TalentXplore
TalentXplore