Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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.

Job Description & Summary:

• Review, analyze, and work with relevant stakeholders to resolve risk& quality issues across source systems in scope
• Coordinate with business owners and other teams to identify root-cause of data quality issues and implement solutions

Responsibilities:

• Review, analyze, and work with relevant stakeholders to resolve risk& quality issues across source systems in scope
• Coordinate with business owners and other teams to identify root-cause of data quality issues and implement solutions
• Work closely with Business Owners/Owner delegates on data analysis and development data quality (DQ) rules on investment Banking risk data. 
• End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance
• Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
• Document business requirements and use cases for projects
• Manage change control process and participate in user acceptance testing (UAT) activities.

Mandatory skill sets:

Data Analysis

Preferred skill sets:

Data Quality

Years of experience required:

3 to 5 Years

Education qualification:

Graduation / Post Graduation

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

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date