SAP Analytics Engineer

Position Responsibilities

• Develop Business Intelligence Solutions
  • Design and develop Business Intelligence Solutions:
    • data source identification (SAP HANA and Non-SAP systems), data staging (Datasphere) and modelling (Datasphere , BW , ABAP CDS)
    • development of enhancements for existing standard reports as well as new and ad-hoc reports, data visualizations (dashboards) in SAP Analytics Cloud, Qlik and alteryx
  • Define test cases in collaboration with users, perform functional testing and support User Acceptance Testing
  • Perform deployments in alignment with release processes
  • Create and maintain high-quality documentation of all deliverables, including data dictionaries and report and analysis specifications
  • Support continuous improvement of data quality, standardization and query performance
  • Collaborate with stakeholders to refine business requirements and work with Product Owners, Product Managers to define User Stories

• Support BI Landscape Renewal
  • Support exploration of new technologies and defining the future architecture
  • Play a key role in the migration of existing data extractors and models, reports and dashboards into new tools (SAP Datasphere and SAP Analytics Cloud) and continuously improve them
  • Support consolidation of reporting requirements during migration project
  • Support user training, e.g. on self-service BI capabilities
• Work efficiently with others and independently:
  • Work closely with internal and external development and testing teams, as well as markets, to ensure seamless integration and alignment
  • Proactively communicate findings, progress, challenges, and potential risks to lead engineers, Product Manager and stakeholders
  • Participate in code reviews, knowledge sharing sessions, and best practice discussions

• 4-7 years of progressive experience in SAP Data Warehousing and Business Intelligence, with a strong understanding of core concepts from platforms like SAP BW, BW/4HANA, or SAP HANA SQL Data Warehousing.
• Develop Business Intelligence Solutions
  • Design and develop Business Intelligence Solutions:
    • data source identification (SAP HANA and Non-SAP systems), data staging (Datasphere) and modelling (Datasphere)
    • development of enhancements for existing standard reports as well as new and ad-hoc reports, data visualizations (dashboards) in SAP Analytics Cloud, Qlik and alteryx
  • Define test cases in collaboration with users, perform functional testing and support User Acceptance Testing
  • Perform deployments in alignment with release processes
  • Create and maintain high-quality documentation of all deliverables, including data dictionaries and report and analysis specifications
  • Support continuous improvement of data quality, standardization and query performance
  • Collaborate with stakeholders to refine business requirements and work with Product Owners, Product Managers and Anchor Engineers to define User Stories
  •  
• Support BI Landscape Renewal
  • Support exploration of new technologies and defining the future architecture
  • Play a key role in the migration of existing data extractors and models, reports and dashboards into new tools (SAP Datasphere and SAP Analytics Cloud) and continuously improve them
  • Support consolidation of reporting requirements during migration project
  • Support user training, e.g. on self-service BI capabilities
• Work efficiently with others and independently:
  • Work closely with internal and external development and testing teams, as well as markets, to ensure seamless integration and alignment
  • Proactively communicate findings, progress, challenges, and potential risks to lead  engineers, Product Manager and stakeholders
  • Participate in code reviews, knowledge sharing sessions, and best practice discussions

Skills for this role

• Required qualifications:
• Experience programming to extract, transform and clean large (multi-TB) data sets and respective technologies, preferably SAP Datasphere or similar
• Experience with data modeling and respective technologies (see above)
• Experience with design of data analysis and visualization and respective tools, preferably Google Big Query, SAP Analytics Cloud, alteryx, Qlik or similar
• Experience in scripting for automation and advanced SQL skills
• Experience working directly with business stakeholders to analyze requirements and translate them into technical solutions
• Ability to identify, analyze, and resolve complex technical issues and optimize queries
• Excellent communication skills, both written and verbal, for effectively interacting with stakeholders
• Ability to collaborate effectively with diverse teams and contribute to a positive work environment
• Experience with and understanding of Material Management Planning -business processes
• Experience with developing or understanding backend ABAP CDS views
• Experience working with SAP HANA as main data source
• Experience with agile development and testing practices
• The candidate should be comfortable working in a global environment and collaborating with teams across different time zones