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PwC Service Delivery Center
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IN_Manager_SAP BW_Data and Analytics_Advisory_NCR & HYD

IN_Manager_SAP BW_Data and Analytics_Advisory_NCR & HYD

PwC Service Delivery Center

7 - 10 years

13 - 17 Lacs

Gurugram

Posted:13 hours ago| Platform:

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Skills Required

Computer science Data analysis Backend Data management data security Analytical Consulting Data quality Data mining ABAP

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

& Summary

In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.

Why PWC

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations

& 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 nonSAP 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

Handson 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 NonSAP 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. 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.

Mandatory skill sets

Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. 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.

Preferred skill sets

Hands on experience for SAP BW for almost 710 years of experience.

Years of experience required

610 years experience on SAP BW.

Education qualification

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

Education

Degrees/Field of Study required Bachelor of Technology, Master of Engineering

Degrees/Field of Study preferred

Required Skills

SAP Business Warehouse

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, 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, Learning Agility {+ 15 more}

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