What are the responsibilities and job description for the SAP Analytics/Datasphere Lead position at Shrive Technologies?
10 years of experience
Deep understanding of SAP Data Warehouse concepts and proven expertise in SAP BW, HANA Studio Architecture/Design, and Data Modeling.
Expertise in frontend tools such as SAP Analytics Cloud, SAP Business Objects Architecture, IDT, and reporting tools (Webi, Crystal, Lumira, Dashboards, etc.).
Experience in the design and architecture of enterprise data warehouse environments and formulating governance standards.
Strong analytics experience with SAP S4, SAP ECC, MDG, SRM, Hybris, CRM, and other SAP ecosystem components.
Good understanding of SAP modules including SD, FI, PP, MM, PM, EWM, GL, COPA.
Proven ability to provide technical solutions using Data Warehouse Cloud, Datasphere, SAP BW, SAP BW on HANA, SAP HANA, SAP Datawarehouse Cloud, SAP Analytics Cloud, HANA Studio, BW4HANA, and CDS Views/Fiori Reporting.
Experience in performance tuning techniques in Datasphere, SAP BW, HANA DB, HANA Modeling, SAP Datawarehouse Cloud Modeling, SAC, and SBOP.
Proficient in building, testing, and publishing BEx Queries, HANA SQL, and HANA Calculation Views.
Experience in data modeling at conceptual and physical levels, data extraction, and data services modeling.
Skilled in creating Native HANA models, BW-based HANA models, data blending, data snapshot, historical data, data persistence, and virtualization.
Experience in data replication from source systems to HANA using SLT, SDA, and SDI.
Development of HANA models using Studio/Eclipse, CDS views, BW, and ABAP-based HANA models.
Integration of SAP Datawarehouse Cloud in SAP ecosystem, models, and data flows.
Development of ODATA and HANA with sidecar approach.
Transporting SAC, BW, and HANA objects using CTS and migrating objects in SAP Datawarehouse Cloud.
Creating SAP BO reports using HANA models and expertise in XS and XS Advanced application development on HANA 2.0.
Experience in building and deploying multi-target applications, HANA deployment infrastructure (HDI containers), HDB modules, and Node.js integration modules.
Knowledge of source code control using GIT repository and version control using Gerrit.
Familiarity with SAP PAL, APL, AFL, HANA's native machine learning libraries, and their application in projects.
Understanding of integration between HANA artifacts and SAPUI5 applications, live data connection between SAP HANA and Analytics Cloud.
Working knowledge of S/4 Embedded Analytics, standard CDS Views, Fiori apps, and security/services for Fiori apps.
Hands-on experience in building SAC reports, setting up/troubleshooting connections to S/4HANA, BW/BPC, and non-SAP applications.
Designing and developing complex SAC models and stories, grid, canvas, and responsive pages.
Familiarity with charting options, geo maps, tables, and adding images/shapes/texts to a canvas.
Designing dashboards across multiple devices, creation/maintenance of dimensions, currency conversions, and points of interest.
Understanding of Smart Discovery, SAC security requirements, and framework.
Ability to lead or participate in business sessions to identify/document analytic use cases and turn complex business requirements into feasible technical solutions.
Resolving reporting/implementation issues, providing knowledge transfer/training to customers.
Strong communication skills, ability to liaise with top management, conduct one-to-one interviews/meetings with senior management.
Reporting on client project risks/opportunities, troubleshooting/analyzing/resolving technical problems independently.
Proactive, adaptable in fast-paced environments, quick learner, and effective knowledge application.
Advantageous to have a working understanding of BPC.
SAC Planning, SMART Predict, SMART Assist features, SAP Analytics Hub, SAP Analytics Cloud add-in for MS Office, and SAP A4O.
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