SAP Analytics Cloud

7 days ago

Bengaluru, Karnataka, India Acesoft Labs Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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