SAP SAC and SAP Datasphere Consultant

Tech Mahindra Limited; Hyderabad, Chennai, Bengaluru; On-site; INR 1,400,000 - 2,300,000; Full time

Job summary

Tech Mahindra Limited is seeking an experienced SAP SAC and SAP Datasphere Consultant to design, develop, and implement enterprise analytics and data warehousing solutions in Hyderabad, India.

The role focuses on SAP Analytics Cloud reporting, planning, and dashboard development, data modeling in SAP Datasphere, data integration, governance, and secure data provisioning with SAP Business Data Cloud. You will collaborate with architects and stakeholders to deliver scalable analytics.

Qualifications

• Experience in SAP Analytics Cloud reporting, planning, and dashboard development.
• Experience with SAP Datasphere data modeling, integration, and governance.
• Strong data governance and security understanding.

Responsibilities

• Design and develop SAP SAC dashboards, stories, and analytics apps.
• Build data models and integration pipelines with SAP Datasphere.
• Implement data governance, security, and provisioning in BDC ecosystem.
• Collaborate with enterprise architects and stakeholders.

Skills

Data modeling

Data governance

Data integration

Dashboard design

Requirements gathering

Stakeholder collaboration

Tools

SAP SAC

SAP Datasphere

SAP HANA Modeling

SAP BW/BW4HANA

Business Data Cloud (BDC)

SQL

ETL/ELT concepts

Job description

We are seeking an experienced SAP SAC and SAP Datasphere Consultant to design, develop, and implement enterprise analytics and data warehousing solutions. The ideal candidate should have expertise in SAP Analytics Cloud reporting, planning, dashboard development, and SAP Datasphere data modeling, integration, and governance.

Key Responsibilities

SAP Analytics Cloud (SAC)

• Design and develop interactive dashboards, stories, and analytical applications in SAP SAC.
• Create planning models, forecasting solutions, and budgeting applications.
• Develop data visualizations, KPIs, scorecards, and executive reports.
• Implement data actions, allocations, and business rules.
• Integrate SAC with SAP Datasphere, S/4HANA, BW/4HANA, and other source systems.
• Optimize SAC performance and troubleshoot reporting issues.
• Strong experience in SAP Analytics Cloud Story Design.
• SAC Planning and Predictive Analytics.
• Data Actions, Calendar Processes, Allocations, and Business Content.
• Live and Import Data Connections.

SAP Datasphere

• Design and develop data models using analytical, dimension, and fact views.
• Build data integration pipelines from SAP and non-SAP source systems.
• Implement data replication, transformation, and harmonization processes.
• Create business layers and semantic models for self-service analytics.
• Manage data security, authorization, and governance requirements.
• Support performance tuning and monitoring of Datasphere environments.

SAP Business Data Cloud (BDC) & Data Products

• Install and configure pre-packaged SAP data products and business content within the BDC ecosystem.
• Manage the end-to-end provisioning lifecycle of standard SAP data products, ensuring alignment with corporate compliance and data governance policies.
• Optimize BDC connectivity and set up technical links between enterprise data sources, SAP Datasphere, and the BDC framework.
• Collaborate with enterprise architects to map business needs to ready-to-use data assets, accelerating time-to-value for analytical solutions.

General Responsibilities

• Gather business requirements and translate them into technical solutions.
• Work closely with business stakeholders, functional teams, and architects.
• Prepare technical documentation, design specifications, and user training materials.
• Participate in project lifecycle activities including design, development, testing, deployment, and support.

Technical Skills

• SQL and Data Warehousing concepts.
• SAP HANA Modeling.
• SAP BW/BW4HANA (preferred).
• ETL/ELT concepts.
• Understanding of data governance and data quality.
• Hands-on exposure to SAP Business Data Cloud (BDC) infrastructure, components, and cloud services.
• Familiarity with SAP Data Products, including deployment, semantic onboarding, and catalogue integration.