Job Description:
Experience: 7-8 Years
Role: SAP SAC Consultant
Primary Skill: SAP Analytics Cloud (SAC) - Reporting,Dashboarding & Planning
Job Profile
We are looking for an experienced SAP Analytics Cloud (SAC)Consultant with 7–8 years of SAP Analytics/BI
experience and strong hands-on expertise in designing,developing, and implementing SAC solutions. The candidate
should independently manage requirements through design,development, testing, and production deployment,
with experience integrating SAC with SAP S/4 HANA, BW/4HANA, HANA, and SAP/non-SAP data sources.
Strong stakeholder management and communication skills areessential.
Key Responsibilities
- Design and develop SAP SAC Stories, dashboards, reportsand analytical applications.
- Build executive and operational dashboards with KPIs,drilldowns, filters, calculations, hierarchies and interactive visualizations.
- Develop and maintain SAC data models, includingdimensions, measures, calculated measures, currency conversions and hierarchies.
- Configure and manage Live and Import connections with SAPand non-SAP systems.
- Integrate SAC with SAP S/4 HANA, BW/4 HANA and otherenterprise data sources.
- Develop SAC Planning models covering budgeting,forecasting and business planning requirements.
- Configure Data Actions, Multi-Actions, Advanced Formulas,Allocations, Version Management and Forecasting.
- Work with business stakeholders to gather requirements andtranslate them into functional and technical SAC solutions.
- Conduct workshops and support solution design, prototypingand requirement validation.
- Develop dashboards and analytics for business functionssuch as Finance, Sales, Procurement, Supply Chain and HR.
- Perform data validation and reconciliation between SACreports and source systems.
- Optimize SAC models, stories and dashboards forperformance and scalability.
- Configure roles, teams, user access and data-levelsecurity within SAC.
- Perform unit testing, SIT, UAT support, defect resolutionand production deployment.
- Troubleshoot SAC data, connectivity, authorization andperformance issues.
- Prepare functional/technical documentation, configurationdocuments, test scripts and user guides.
- Conduct knowledge-transfer and end-user training sessions.
- Provide post-go-live and production support for SACapplications.
Confidential Document. Uncontrolled when printed.
Mandatory Skills
- 7-8 years of overall experience in SAP BI/Analyticssolutions.
- Minimum 5+ years of strong hands-on SAP Analytics Cloudexperience.
- Strong expertise in:
- SAC Stories & Dashboards
- SAC Data Modelling
- SAC Planning
- Data Actions & Multi-Actions
- Advanced Formulas
- Allocations & Forecasting
- Calculated Measures & Dimensions
- Live & Import Connections
- SAC Security / Roles / Data Access Control
- Performance Optimization
- Strong integration experience with SAP S/4 HANA and/orBW/4 HANA.
- Good understanding of SAP HANA data models and CDS Views.
- Experience consuming and validating data from SAPfunctional areas, particularly FI/CO, SD, MM and Procurement.
- Strong knowledge of BI concepts, KPI design, datavisualization and reporting best practices.
- Strong analytical, troubleshooting andstakeholder-management skills.
- At least 2 end-to-end SAP Analytics/SAC implementation orrollout projects.
- At least 1 end-to-end SAC implementation involvingdashboard/report development and integration with SAP backend systems.
- Hands-on experience working directly with businessstakeholders during requirements, UAT and golive. Experience in productionsupport and performance troubleshooting.
Preferred Skills
- Experience with SAP Datasphere and SAP BTP.
- Experience with S/4 HANA Embedded Analytics (2025 version)and CDS Views.
- Knowledge of SAP BW/4 HANA modelling and queries.
- Experience with SAC predictive capabilities and SmartInsights.
- Understanding of REST/OData/API-based integrations.
- SAP SAC / Analytics / Datasphere certification ispreferred.
- Experience delivering analytics solutions in largeenterprise environments.
Education
Bachelor’s degree in computer science, InformationTechnology, Engineering, Data Analytics, Finance, or related discipline.
Requirements