SAP Analytics Cloud

Hi all ,

we are looking for a role SAP Analytics Cloud

experience : 7 + years

notice period : Immediate - 15 days

location : Bengaluru

• 3-4 years of SAC experience (including Planning).
• 78 years in SAP BO, BI, BW, or HANA.
• Experience in stakeholder management, UAT support, and workshop facilitation.
• Knowledge of working in regulated environments with ALM, test cases, and compliance.
• Build wireframes/prototypes using SAC; translate business requirements to dashboards.
• Create and execute unit tests and support Product Integration Testing.
• Strong communication, collaboration, time management, and conflict resolution skills.
• Able to independently manage tasks and lead blueprinting sessions.
• Serve as a techno-functional consultant in SAP Analytics Cloud implementations.
  
  
  Core Skills Required:
• Primary:
  
• SAP Analytics Cloud (SAC)
• Plus Any One of the Following:
  
• SAP Universe
• Lumira Designer
• SAP BO / Web Intelligence
• Analysis for Office
• Data Skills:
  
• SAP Datasphere or strong SQL knowledge
• Nice to Have (Any One):
  
• Hybrid Planning (SAP BPC)
• BW on HANA or BW/4HANA
• Native HANA
• Key Responsibilities:
  1. Data Analysis & Visualization
• Design intuitive dashboards and reports following enterprise UI/UX templates.
• Expertise in SAC/BO/BW/BW-IP architecture and reporting options.
• Connect to live/import data from SAP & non-SAP sources: SAP Universe, BW, HANA, S/4HANA, HANA Cloud, Concur, SuccessFactors, ARIBA, IBP, etc.
• 2. Analytics Designer
• Develop complex analytic and planning applications.
• Proficient in JavaScript, HTML, CSS. (Python/R is a plus.)
• 3. SAC Planning
• Design and develop planning, forecasting, and budgeting models in SAC.
• Configure planning dimensions, standard/new models, and integrate with BW security.
• Execute top-down/bottom-up planning, currency conversion, version control.
• Implement allocations, value driver trees, simulations, and smart predictions.
• Understand and apply SAC/BW-IP functions like data/multi-actions, planning data flows.
• 4. SAP Datasphere
• Integrate data from SAP/Non-SAP systems (batch & real-time).
• Create complex models using star/snowflake schema, relationships, and hierarchies.
• Leverage both graphical and SQL modeling capabilities.
• Apply data governance: profiling, cleansing, validation, lineage, and impact analysis.
• Integrate SAP Datasphere with SAC and other platforms.
• Prepare and wrangle data (data modeling, merging, calculations, formatting).
• Build analytic, planning, and predictive models with visual elements (charts, tables, maps, filters, drop-downs).
• Use SAC Augmented Analytics features: Smart Insights, Smart Discovery, Smart Predict.
• Enable secure data export/write-back to SAP systems using OData/APIs.
• Build SAC stories using canvas, responsive, and grid pages; advanced features like data blending, formulas, linked analysis, and Digital Boardroom.