Pwc
Not Applicable
IN_SeniorAssociate_Informatica_DataandAnalytics_Advisory_PanIndia
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate_Informatica_Data and Analytics_Advisory_Pan India at Pwc. Skills: Informatica PowerCenter, Data and Analytics, Advisory. Develop and optimize reports dashboards and universes using SAP business objects tools such as web intelligence Lumira designers IDT/UDT and CMC.. Perform end-to-end BI solution delivery from requirement gathering to production deployment and user support”
What You'll Achieve.
driving business growth; enable informed decision-making; transforming raw data into actionable insights; drive business results using smarter data analytics; drive innovation, growth, and change within their organisations; gain a competitive edge
Industry & Context.
Analytical Thinking; Troubleshoot complex reporting data connectivity and performance issues
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
7 TO 10 Years, Advanced degree (Master’s or Ph. D. ) in Computer Science, Artificial Intelligence, Data Science, or related discipline., Informatica PowerCenter
Nice to Have
SAP BW/HANA, SAC dashboards and stories leveraging live and import connections
What You'll Do.
Develop and optimize reports dashboards and universes using SAP business objects tools such as web intelligence Lumira designers IDT/UDT and CMC.
Perform end-to-end BI solution delivery from requirement gathering to production deployment and user support
Troubleshoot complex reporting data connectivity and performance issues across BOBJ environments.
and security configurations within BOBJ platform.
Maintain and enhance existing Bob job applications ensuring stability and alignment with evolving business needs
Provide Technical Support for incidence root cause and performance optimization
Develop and integrate SAC dashboards and stories leveraging live and import connections
Contribute to BI modernization initiatives including migration upgrades and hybrid analytics adoption
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to ensure high quality timely and reliable BI deliverables.
Communication Scope
Communication
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*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_](https://www.pwc.in/about-us.html). 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. " **Job Description
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