SAP Analytics Cloud (SAC)

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/4
HANA, HANA, and SAP/non-SAP data sources.

Strong stakeholder management and communication skills are
essential.

Key Responsibilities

• Design and develop SAP SAC Stories, dashboards, reports
and analytical applications.

• Build executive and operational dashboards with KPIs,
drilldowns, filters, calculations, hierarchies and

interactive visualizations.

• Develop and maintain SAC data models, including
dimensions, measures, calculated measures, currency

conversions and hierarchies.

• Configure and manage Live and Import connections with SAP
and non-SAP systems.

• Integrate SAC with SAP S/4 HANA, BW/4 HANA and other
enterprise 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 and
translate them into functional and technical

SAC solutions.

• Conduct workshops and support solution design, prototyping
and requirement validation.

• Develop dashboards and analytics for business functions
such as Finance, Sales, Procurement, Supply

Chain and HR.

• Perform data validation and reconciliation between SAC
reports and source systems.

• Optimize SAC models, stories and dashboards for
performance and scalability.

• Configure roles, teams, user access and data-level
security within SAC.

• Perform unit testing, SIT, UAT support, defect resolution
and production deployment.

• Troubleshoot SAC data, connectivity, authorization and
performance issues.

• Prepare functional/technical documentation, configuration
documents, test scripts and user guides.

• Conduct knowledge-transfer and end-user training sessions.

• Provide post-go-live and production support for SAC
applications.

Confidential Document. Uncontrolled when printed.

Mandatory Skills

• 7-8 years of overall experience in SAP BI/Analytics
solutions.

• Minimum 5+ years of strong hands-on SAP Analytics Cloud
experience.

• Strong expertise in:

o SAC Stories & Dashboards

o SAC Data Modelling

o SAC Planning

o Data Actions & Multi-Actions

o Advanced Formulas

o Allocations & Forecasting

o Calculated Measures & Dimensions

o Live & Import Connections

o SAC Security / Roles / Data Access Control

o Performance Optimization

• Strong integration experience with SAP S/4 HANA and/or
BW/4 HANA.

• Good understanding of SAP HANA data models and CDS Views.

• Experience consuming and validating data from SAP
functional areas, particularly FI/CO, SD, MM and

Procurement.

• Strong knowledge of BI concepts, KPI design, data
visualization and reporting best practices.

• Strong analytical, troubleshooting and
stakeholder-management skills.

• At least 2 end-to-end SAP Analytics/SAC implementation or
rollout projects.

• At least 1 end-to-end SAC implementation involving
dashboard/report development and integration

with SAP backend systems.

• Hands-on experience working directly with business
stakeholders during requirements, UAT and golive. Experience in production
support 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 Smart
Insights.

• Understanding of REST/OData/API-based integrations.

• SAP SAC / Analytics / Datasphere certification is
preferred.

• Experience delivering analytics solutions in large
enterprise environments.

Education

Bachelor’s degree in computer science, Information
Technology, Engineering, Data Analytics, Finance, or related

discipline.