SAP Datasphere Consultant with SAC Reporting Skills

NTT DATA, Inc.

Indianapolis (IN)

On-site

USD 100,000 - 140,000

Full time

4 days ago
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Job summary

NTT DATA, Inc. is seeking an experienced SAP Datasphere Consultant with SAC reporting skills to design data models, build dashboards, and support analytics across SAP and non-SAP sources.

You will develop scalable semantic models, define data flows, and create SAC reports to meet business requirements. Strong SQL and security knowledge will help ensure robust analytics delivery.

Qualifications

  • Experience in SAP Datasphere modeling and development.
  • Strong SAC reporting and dashboard development knowledge.
  • Experience with SAC stories, KPIs, charts, filters, and drill-down reports.
  • Knowledge of fact/dimension modeling, star schema, and semantic modeling.
  • Experience with data integration from SAP BW/BW4HANA, S/4HANA, HANA, ECC.
  • Solid SQL skills: calculated columns, joins, unions, and data transformations.
  • Understanding of remote tables, data flows, replication flows, and provisioning.
  • Ability to troubleshoot data issues, performance and reporting defects.
  • Knowledge of security/authorization in Datasphere and SAC.
  • Excellent communication with business and technical stakeholders.

Responsibilities

  • Design and develop data models in SAP Datasphere using spaces, tables, views, associations, transformations, and business entities.
  • Build analytical and relational models to support reporting and analytics requirements.
  • Integrate data from SAP and non-SAP sources such as BW, S/4HANA, HANA and cloud sources.
  • Create data flows, replication flows, remote tables, and views per business requirements.
  • Develop SAC stories, dashboards, and analytical reports using Datasphere models as source.
  • Build calculated measures, restricted measures, filters, input controls, charts, tables, and drill-down reports in SAC.
  • Work with business users to understand reporting requirements and convert to technical solutions.
  • Perform data validation, reconciliation, and performance tuning; resolve issues.
  • Manage security, access control, spaces, roles, and authorizations in Datasphere and SAC.
  • Support testing, UAT, deployment, documentation, and production support activities.

Skills

SAP Datasphere
SAC reporting
SQL proficiency
Data integration
Security concepts
Communication skills
Performance troubleshooting
UAT & deployment
Agile delivery
Dashboard design

Tools

SAP BW
BW/4HANA
HANA modelling
SAP Cloud Connector
DP Agent

Job description

Job Description – SAP Datasphere Consultant with SAC Reporting Skills

We are looking for an experienced SAP Datasphere Consultant with SAP Analytics Cloud (SAC) reporting skills to support data modeling, integration, and analytics requirements. The consultant will be responsible for building scalable data models in SAP Datasphere and developing business-friendly dashboards and reports in SAC.

Key Responsibilities
  • Design and develop data models in SAP Datasphere using spaces, tables, views, associations, transformations, and business entities.
  • Build analytical and relational models to support reporting and analytics requirements.
  • Integrate data from SAP and non-SAP source systems such as SAP BW, BW/4HANA, S/4HANA, HANA, ECC, flat files, and cloud sources.
  • Create data flows, replication flows, remote tables, and views as per business requirements.
  • Develop SAC stories, dashboards, and analytical reports using SAP Datasphere models as source.
  • Build calculated measures, restricted measures, filters, input controls, charts, tables, and drill-down reports in SAC.
  • Work with business users to understand reporting requirements and convert them into technical solutions.
  • Perform data validation, reconciliation, performance tuning, and issue resolution.
  • Manage security, access control, spaces, roles, and authorizations in SAP Datasphere and SAC.
  • Support testing, UAT, deployment, documentation, and production support activities.
Required Skills
  • Strong hands-on experience in SAP Datasphere modeling and development.
  • Good understanding of SAP Analytics Cloud reporting and dashboard development.
  • Experience in creating SAC stories, KPIs, charts, tables, filters, and drill-down reports.
  • Knowledge of data modeling concepts, including fact/dimension modeling, star schema, and semantic modeling.
  • Experience with data integration from SAP BW/BW4HANA, S/4HANA, HANA, ECC, or other enterprise systems.
  • Good knowledge of SQL, calculated columns, joins, unions, aggregations, and data transformations.
  • Understanding of remote tables, data flows, replication flows, and data provisioning concepts.
  • Ability to troubleshoot data issues, model performance issues, and reporting defects.
  • Good understanding of security and authorization concepts in Datasphere and SAC.
  • Strong communication skills and ability to work with business and technical stakeholders.
Preferred Skills
  • Experience with SAP BW, BW/4HANA, HANA modeling, or SAP BDC.
  • Knowledge of SAC live and import connections.
  • Exposure to planning scenarios in SAC is an added advantage.
  • Experience with SAP Cloud Connector, DP Agent, or integration setup is preferred.
  • Basic understanding of ABAP CDS Views or S/4HANA embedded analytics will be helpful.
  • Experience in migration or modernization from BW/HANA to Datasphere will be an advantage.
  • Experience 5+ years of overall SAP Analytics / BI experience.
  • 2+ years of hands-on experience in SAP Datasphere.
  • 2+ years of experience in SAC reporting / dashboard development.
Good to Have
  • Ability to independently handle requirement discussions and solution design.
  • Experience working in Agile delivery model.
  • Strong analytical and problem-solving skills.
  • Ability to support both development and production support activities.
  • Good documentation and client communication skills.
Summary

The candidate should have strong hands-on experience in SAP Datasphere data modeling and good working knowledge of SAC reporting. The role requires the ability to integrate data from multiple sources, build scalable semantic models, and deliver user-friendly dashboards and analytical reports for business users.

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