Level

PwCPosted 22mo ago

IN_Associate_SAP Datasphere_D&A_Advisory_Bangalore

IN_Associate_SAP Datasphere_D&A_Advisory_Bangalore at PwC scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Bengaluru MilleniaFull time

AI in this role

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

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. "

Responsibilities:

● DataSphere 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 DataSphere Solutions .
●
● Understand the integration and consumption of data
models with other Tools
Job Description:
● Hands-on experience in DataSphere and strong
understanding of usage of objects like Analytical
model, views, Data Flow, Replication Flow, Task
Chain and performance optimization concepts such as
data tiering optimization.
● Experience in integration of DataSphere with various
SAP and Non-SAP backend systems/sources of data
and good knowledge of different data acquisition
techniques.
● full life cycle Implementation experience in SAP
DataSphere
● Hands on Experience in data extraction using
standard or Custom extraction.
● Strong experience in writing Sql.
● Functional Knowledge of various Modules like SD,
MM, FI.
● Connectivity of SAP DataSphere with reporting tool
like SAC, PBI


Mandatory skill sets: SAP Datasphere

Preferred skill sets: SAP Datasphere

Years of experience required: 4-8 Years

Education qualification: B.tech/M.tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP Datasphere

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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