AP Analytics Cloud (SAC) Consultant
Job Description
AP Analytics Cloud (SAC) Consultant
Hybrid(Wilmington DE)
Contract
Job Description
Atleast 8 years of experience in Analysis, Design and Development in BI projects
· Strong Hands on experience as SAP Analytics Cloud (SAC) Consultant
· Strong experience in documenting business requirements, functional, technical specifications and test cases.
· Capable of working as a Team Member or individually with minimum supervision.
· Flexible to adapt to any new environment with a strong desire to keep pace with latest technologies.
· Strong Communication and Interpersonal skills with the ability to interact with end-users, managers and technical personnel with ability to handle and advice client confidently
Roles & Responsibilities
Strong Analytics/Data warehouse experience using SAP Cloud Platform background and foundation
2. Must be strong in building reports, dashboards, scorecards (good sense of data)
3. Strong hands on experience in Creation of Planning Models, Geo Maps, Value Driver Tree and hierarchy in a model
4. Experience in SAP BOBJ is preferred.
5. Strong Working knowledge of SAP BW on HANA, HANA data integration tools like DS, SLT, SDA
6. Experienced in at least 2-3 large projects of SAP / Non-SAP data migration roll-outs with Strong SDLC knowledge including entire life cycle of analysis, design, build, test and deployment.
7. Work in aggressive delivery model in agile mode
8. Experience in creation of complex Jobs, Work Flows, Data Flows, and Scripts using various Transforms (Integrator, Quality and Platform) to successfully load data from multiple sources into a desired target.
9. Defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing
10. Extensively used Data Services Management Console to schedule and execute jobs, manage repositories and perform metadata reporting.
11. Experienced in using Performance Tuning techniques, system optimization, and business process improvement
12. Experience in debugging execution errors using Data Integrator logs (trace, monitor, and error) and by examining the target data.
13. Extensively used Data Services Management Console to schedule and execute jobs, Manage repositories and perform metadata reporting