SAC Consultant - SAP Implementation & Support (5-8 yrs)

SAP Analytics Cloud (SAC) Consultant

About the Role : We are seeking a highly skilled SAP Analytics Cloud (SAC) Consultant to join our team.

As an SAC Consultant, you will be responsible for designing, implementing, and supporting SAC solutions to meet the evolving needs of our clients. You will leverage your expertise in planning, analytics, and data integration to deliver impactful solutions.

Key Responsibilities :

- Planning and Budgeting : Create and manage planning models, data actions, and value driver trees. Configure planning scenarios and workflows to support business processes.

- Data Integration : Integrate data from various sources, including SAP BW, HANA, and flat files. Develop data models and transformations to prepare data for analysis.

- Advanced Analytics and Visualization : Create insightful visualizations, reports, and dashboards using SAC's advanced analytics capabilities. Leverage smart insights and smart predict for predictive analytics.

- Collaboration : Utilize SAC's collaboration features to facilitate teamwork and knowledge sharing. Manage user access and permissions to ensure data security.

- Administration and Security : Configure SAC administration settings, user roles, and permissions. Monitor system performance and troubleshoot issues.

Required Skills and Experience :

- 5+ years of experience in SAP Analytics Cloud.

- Strong proficiency in SAC planning, analytics, and data integration capabilities.

- Experience with data acquisition from various sources (BW, HANA, flat files).

- Expertise in data modeling, transformations, and calculations.

- Advanced skills in data visualization and report creation.

- Knowledge of SAC administration and security best practices.

- Strong analytical and problem-solving skills.

- Excellent communication and interpersonal skills.

- SAP Analytics Cloud Certification (mandatory).

Preferred Skills :

- Experience with SAP BTP and its integration with SAC.

- Knowledge of Power BI and other data visualization tools.

- Experience with scripting languages (e.g., Python, R).