IN_Senior Associate_ SAP Analytics_D&A_Advisory

4 - 8 years

9 - 14 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Responsibilities

Excellent technical knowhow and hands on experience in SAP BW4/HANA. Good balance of experience in SAP BW4HANA/BW on HANA Modeling, Data extraction and reporting areas. Hands on Experience on Business Warehouse Modeling Standard and custom data models & Extractors (ODP & Non ODP). Expertise in SAP and nonSAP extraction and functional aspects. End to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA & exposing BW models as HANA views, mixed scenarios, HANA Analysis process Aware about LSA ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc. Experience in BEx Query Designer, Customer Exits Variables, Roles & Authorization Experience in ABAP (BW relevant) and SQL AMDP Scripts, Start/End/Exit/Expert/Field Routines) and BADIs, good in debugging ABAP Code. Functional knowledge of other SAP modules (PS, SD, MM, FICO, PS, PM, REFX etc). Experience in mapping business requirements to the technical architecture design and data model. Worked on SAP BW Support Projects & having knowledge of Administration Monitoring Process Chains. Expert in trouble shooting the load failures. Worked on SAP BI migration/upgrade Project Knowledge of any Reporting will be plus
Mandatory skill sets
SAP Analytics
Preferred skill sets
SAP Analytics
Years of experience required
4 to 8
Education qualification
Btech/MBA/MCA
Education
Degrees/Field of Study required Bachelor of Technology, MBA (Master of Business Administration)
Degrees/Field of Study preferred
Required Skills
SAP Analytics Cloud
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity.

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