Line of Service: Advisory

Industry/Sector: FS X-Sector

Specialism: Data, Analytics & AI

Management Level: Senior 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:

4 – 7 years of experience within the financial services industry (Banking, NBFC, Insurance).
End-to-End understanding of Banking and Lending / Insurance Landscape in India.
Good understanding of Customer Lifecycle in Banking / Insurance Industry.
Exposure to building and maintaining Data Models for Banks / NBFCs / Insurance.
Experience in writing BRDs / FRDs, conducting UAT.
Understanding of Data Architecture and Enterprise Data Warehouse/Data Lake for Banks / NBFCs / Insurance.
Understanding of Data Warehousing concepts like Dimensional Modelling, ETL Design, etc.
Experience in designing wireframes for CXO level dashboards.
Experience in managing delivery teams & project economics.
Project Management Experience.
Preparing project documentation such as Project Charter, Project Initiation Document, Project Closure Document.
Exposure to SDLC / Agile.
Location: Mumbai.

Mandatory Skill Sets:

Financial services industry (Banking, NBFC, Insurance).
Project Management Experience.

Preferred Skill Sets:

Understanding of Technology stack that supports banking / insurance operations.
Relational databases knowledge (Oracle database, PL-SQL).
Experience in Test Case/Scenario creation for QA and UAT.
Experience in managing economics of a fixed-cost project.
Strong team building, partnership, and collaboration skills.
Excellent communication skills, written, verbal, and listening.

Years of Experience Required:

4 – 7 years

Education Qualification:

BTech / MBA / MCA

Degrees/Field of Study Required:

Bachelor of Engineering, Bachelor of Technology, Master of Business Administration

Degrees/Field of Study Preferred:

Not specified

Required Skills:

Quality Assurance (QA)
Structured Query Language (SQL)

Optional Skills:

Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software.

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