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.