Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decisionmaking. These individuals handle data governance, quality control, and data integration to support business operations.
In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.
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 purposeled and valuesdriven 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 .
& Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.
Responsibilities
Must have 1. SAP Native Hana modelling experience with good knowledge on architecture and different features of HANA DB and HANA on cloud, SLT, SDI (e.g. Hands on experience with calculated columns, Input parameters/Variables, Performance optimization techniques) 2. SAP Analytics SAP BW, SAP BW on HANA, SAP Native HANA, ADSO (Advanced Data Storage Options), CP (Composite Providers), Cube, Routines, DSO, InfoObjects, Multiproviders, Infosets 3. SAP Extractors, ABAP 4. Handson experience of SQL queries, performance optimization, delta/SCD logic and able to handle complex transformation logics. 5. Working on SLT 6. Able to independently handle the ETL activities including loading the data from SAP ECC, third party system to HANA, flat file and other business formats. 7. Understanding of Data Profiling, Data Quality, Data Integrator and platform transformations. 8. Handling SAP BODS, problem definition, Architecture/Design Detailing of Processes.
Mandatory skill sets
Native HANA, BW on HANA, SLT, SQL Certifications (any one) SAP Native HANA SAP BW on HANA SAP BI7.0 SAP BW3.5
Preferred skill sets
Good to have Working knowledge of Python BODS
Years of experience required
Experience 510 Years
Education qualification
B.Tech / M.Tech / MCA/MBA
Education
Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
SAP HANA
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more}
No