SAP Analytics Consultant

SAP BW/4HANA Skillset Skills: Azure SQL/T-SQL, Azure Data Factory, Azure Function apps, Azure Blob Responsibilities: Overall, around 7 years of experience in implementation of SAP Analytics. Responsibilities Collaborate with business and IT to understand the business requirements for BW/HANA & ABAP topics. Specify security requirements and approaches to data for adherence. Define and promote best practice methodologies. Ensure solutions are aligned with the major stakeholders for KPI standards and roadmap. Experience in writing requirements documents, functional/technical specifications and any other documentation that might be required as part of project. Coordinate with business users and other IT team/departments to design and develop complex requirements. Implement/use guidelines project, process and architecture. Maintain a clear understanding of the potential impacts of proposed solutions on the other areas of the system and/or project. Using automation techniques and reducing the overall time of the project Implement full project life cycle. SAP BW/HANA: Work experience in all three phases - BW Reporting, Extraction and Modeling with at least 2 end to end implementations. Experience in working with ADSOs (all types), composite providers, BeX query and Analysis for office. Should have very strong experience in ABAP skills like Start, End, Expert, Field level Routines, custom built Extractors & Debugging skills where required. Experience in working with HANA views, AMDP procedures, ABAP-OOPs, and hybrid architecture. Integrating both SAP and non-SAP source systems Knowledge of connectors like SDA/SDI Exposing models or queries as Odata for external consumption Consuming external APIs into BW models SAP Datasphere: Ability to design & implement complex dataflows. Writing transformations using python scripts Ability to design & implement complex dataflows. Writing transformations using python scripts Creating views and exposing for consumption to SAP Analytics Cloud Consuming HDI containers in Datasphere Exposing Datasphere model to AI algorithms Exposing Datasphere model to third party tools SAP Analytics Cloud: Hands-on experience on SAC (including Planning), designing/implementing data models. Good Understanding of SAP data structures, forecasting and analytical applications. Excellent CSS Scripting abilities. Ability to exhibit and follow standard coding and naming conventions and a top- down approach Strong hands-on experience on SAC connectivity, integration with SAP cloud connector, Authorization concept (Users, roles, team) and governance Knowledge on SAC predictive capabilities, Augmented analytics Interpersonal & Communication: Effective communication skills and knowledge to close communication gaps through proper channels Excellent verbal and written communication ability to connect technical solutions to business need, problem solving skills Experience Level Senior Level