IN_Manager_SAP BW_Data and Analytics_Advisory_Pune

Description

& Summary: -BW on HANA/BW4HANA implementation in key SAP modules -Requirement’s analysis, conception, implementation/development of solution as per requirement.

Create HLD and then convert them to LLD.

-Data extraction from SAP and non-SAP systems, data modelling and reports delivery.

-Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions -Understand the integration and consumption of BW data models/repots with other Tools

Responsibilities:

-Hands-on experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization.

-Experience in integration of BW with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA.

-knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit.

Mandatory skill sets:

-Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA -Hands on Experience in data extraction using standard or generic data sources.

Good Knowledge of data source enhancement -Strong experience in writing ABAP/AMDP code for exits, Transformation.

-Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting.

Preferred skill sets:

-Understanding of LSA/LSA++ architecture and its development standards.

-Good understanding of BW4 Application and Database security concepts.

-Functional Knowledge of various Modules like SD, MM, FI.

Education qualification:

-B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)

Education

Degrees/Field of Study required: Master of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications

Required Skills

SAP Business Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven 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, Learning Agility {+ 15 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date