SAP Analytics Cloud Developer
Indexed description
- Design, develop, and maintain automated data pipelines using Python
- Consolidate, transform, and validate financial and operational data from multiple Excel sources
- Develop integrations with SAP Analytics Cloud (SAC) to support reporting and analytics
- Build ETL processes and automate data workflows for financial reporting
- Design and implement automation solutions using UiPath where applicable
- Collaborate with Finance, Operations, and Analytics teams to understand business requirements
- Ensure data quality, consistency, and governance across reporting platforms
- Optimize existing data integration processes and improve operational efficiency
- Support SAP-related development and enterprise data initiatives
- Troubleshoot and resolve data integration and reporting issues
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field
- 4–6 years of experience in Python Development, Data Engineering, or Data Integration
- Strong programming skills in Python
- Experience building ETL/data pipelines and automation solutions
- Hands-on experience with SAP Analytics Cloud (SAC) or similar BI platforms
- Advanced Microsoft Excel skills for data manipulation and analysis
- Understanding of financial reporting, FP&A, or financial performance management
- Experience with SQL and relational databases
- Experience with UiPath or other RPA platforms is a plus
- Knowledge of SAP Business Applications is highly preferred
- Experience with OutSystems or other low-code platforms is an advantage
- Strong analytical and problem-solving skills
- Excellent English communication skills
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact.
What we offer
- An international community bringing together 110+ different nationalities
- An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
- A robust training system with our internal Academy and 250+ available modules
- A vibrant workplace with regular afterworks, networking events, and team activities
- Opportunities to work on enterprise digital transformation and data initiatives
- A collaborative environment that encourages innovation and continuous learning
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