SAP Datasphere and SAC Lead

Hybrid in Corona, CA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
25% Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • SAP Analytics Lead/Manager SAP Datasphere & SAP Analytics Cloud (SAC)

Summary

Function / Role:

SAP Analytics Lead/Manager SAP Datasphere & SAP Analytics Cloud (SAC)

Experience and Expectation:

Overall

Total 10+ years of experience in SAP Data & Analytics, covering SAP BW / BW on HANA / BW/4HANA, SAP Datasphere and SAP Analytics Cloud (SAC).

Must have worked on at least 4-5 end to end implementation projects, including at least 1 end to end SAP Datasphere implementation and at least 1 end to end SAC reporting / dashboarding delivery.

Strong expertise in designing enterprise-wide analytics architecture, data models, integration strategies and target-state analytics roadmaps.

Must be able to lead business process / requirement gathering / solution architecture workshop sessions, and convert functional requirements into technical designs.

Deep understanding of the analytics delivery lifecycle - from blueprinting and design through development, testing, deployment and post go-live support.

SAP Datasphere (core)

Strong hands-on experience across Data Builder and Business Builder.

Spaces, data products and space-level governance.

Semantic modelling and analytical models.

Data integration and replication frameworks - data flows, replication flows and task chains.

BW Bridge and BW modernization initiatives.

Implementation of data integration, data quality and data governance solutions using SAP Datasphere.

Datasphere performance optimization, data load tuning and system troubleshooting.

SAP Analytics Cloud (core)

Hands-on creation of SAC stories, dashboards and analytic applications - hierarchies, geo maps, linked analysis, calculated measures & dimensions, blending etc.

Experience with SAC live and import connections on Datasphere and BW/4HANA, including connection setup and troubleshooting.

SAC security, roles and authorization concepts, designed in line with Datasphere-level security.

Story / model performance optimization and support for business adoption of dashboards.

Data foundation & integration

Working knowledge of BW / BW/4HANA modelling objects - ADSOs, Composite Providers, Open ODS Views, Transformations, DTPs, Process Chains and Open Hub.

SAP and non-SAP data integration using standard extractors, generic extractors, CDS-based extraction and the ODP framework.

Must have strong HANA and SQL knowledge.

Experience in SAP BW to BW/4HANA migration and SAP BW to SAP Datasphere modernization programs.

Leadership & delivery

Strong problem-solving skills, self-directed, and capable of leading and mentoring a team.

Ability to engage with business and IT stakeholders, understand complex reporting and analytics requirements and translate them into scalable solution designs.

Excellent time-management skills and the ability to deliver results against aggressive timelines and at short notice.

Should be flexible / willing to work across the delivery landscape, including and not limited to Agile application development, support and deployment.

Good understanding of SAP modules like MM, SD, FI, PP and/or QM would be an added advantage.

Qualifications

Excellent verbal and written communication, interpersonal and presentation skills

Should be ready for short-term or long-term travels across the globe

Type of work

Consulting and System Configuration

Resource Requirements:

Years of Experience

10+

Related Experience

3+ years hands-on SAP Datasphere and 3+ years hands-on SAC

Certification

SAP Datasphere and/or SAC certification preferred; SAP BW/4HANA certification an added advantage

Extra s

Deep ABAP technical skills - BW user-exits & customer enhancements, ABAP CDS, AMDP, performance tuning and analysis of ABAP logs / dumps.

Knowledge of SAP Business Data Cloud (BDC), Datasphere strategy and cloud analytics transformations.

SAC Planning experience (planning models, data actions, allocations).

SAP Analysis for Office (AFO) and SAP BO reporting exposure.

AI knowledge and experience.

Pre-sales experience.

Experience conducting analytics landscape assessments, migration readiness assessments and roadmap definition exercises.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91074808
  • Position Id: 9091113
  • Posted 11 hours ago
Contact the job poster
Harpreet Singh

Harpreet Singh

Talent Acquisition Manager @ Negocios IT Solutions (P) LTD
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