SAP Analytics Cloud (SAC) Consultant

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Company: SysMind Tech

Location: Wilmington, DE 19805

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


  • Strong Analytics/Data warehouse experience using SAP Cloud Platform background and foundation
  • Must be strong in building reports, dashboards, scorecards (good sense of data)
  • Strong hands on experience in Creation of Planning Models, Geo Maps, Value Driver Tree and hierarchy in a model
  • Experience in SAP BOBJ is preferred.
  • Strong Working knowledge of SAP BW on HANA, HANA data integration tools like DS, SLT, SDA
  • 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.
  • Work in aggressive delivery model in agile mode
  • 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.
  • Defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing
  • Extensively used Data Services Management Console to schedule and execute jobs, manage repositories and perform metadata reporting.
  • Experienced in using Performance Tuning techniques, system optimization, and business process improvement
  • Experience in debugging execution errors using Data Integrator logs (trace, monitor, and error) and by examining the target data.
  • Extensively used Data Services Management Console to schedule and execute jobs, Manage repositories and perform metadata reporting.
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