The Role
The role involves rewriting seven data models and reports in S4 CDS views and SAP Analytics Cloud for better performance. Deliverables include a CDS model and SAC dashboard for each report in the list, with a focus on using an existing report as a template.
Summary Generated by Built In
This is a remote position.
Comerit is searching for a Functional/Technical Developer - SAC/CDS Developer for an engagement with our client to rewrite seven (7) data models and reports that need to be rewritten for performance and business reasons. The data models are built as S4 CDS views and the reports exist in SAP Analytics Cloud.
Our client has identified one (1) data model/report (ZPER) that runs well and should serve as a
template from which the other seven (7) should follow.
Report List:
1. Budget Variance Report
2. Rolling Trend Report
3. Finance and Stat Report (Number of reports is TBD)
4. FTE & Payroll Summary
5. Department Stats by Period
6. Departmental Statistical Comparison (ZCSM)
7. Z Compare (ZCOM)
Deliverables:
1. A S4 CDS model per report in the above report list
2. A SAC dashboard per report in the above report list
3. Working sessions during development of S4 CDS model in lieu of a formal knowledge transfer
Approach:
• Review existing CDS view (Budget Variance Report)
• Rebuild BVR
• Review ZPER report as a potential template for remaining reports
Assumptions:
• Current BVR is correct per valuation and metrics established but performance is slow
• ZPER is the ideal metric in terms of performance
• Work will be performed remotely
• Will have access to S/4 CDS Views
• Will have access to SAC tenant
• Access to any pertinent system will be provided
• Training can be accomplished via shadowing the developer
Requirements
SAC/CDS
Skills Required
- Experience with S4 CDS views
- Experience with SAP Analytics Cloud
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The Company
What We Do
Comerit is a global management consulting firm specializing in data transformation, advanced analytics, SAP modernization, AI, and business intelligence solutions. They partner with Fortune 500 companies to maximize strategic data investments and turn complexity into competitive advantage.
