Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior AssociateJob Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. 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 PWCAt 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 .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:MUST HAVE · 5 to 10 years of experience as a Business Analyst in the banking and financial services domain. Preferably experience in banking sector · Strong understanding of CB Loan/Lending business domain. · Hands-on experience with SAP Power Designer or similar data modeling tools. · Strong analytical and problem-solving skills. · Good writing and communication skills. · Willingness to travel and ready to operate from other locations if required. Responsibilities: The Data Modeller will play a critical role in defining and implementing data models that align with the business and technical requirements of the organization. The responsibilities will include: · Collaborating with business and technology teams to design conceptual, logical, and physical data models for the lending business domain. · Using SAP Power Designer to create and manage data models. · Ensuring data models align with data governance standards, data quality frameworks, and enterprise data architecture. · Working closely with stakeholders to gather and analyze requirements related to CB Loan/Lending business processes. · Defining relationships, data attributes, and structures to optimize data storage and retrieval. · Supporting data integration and migration efforts by ensuring models are aligned with business rules and technology architecture. · Participating in business development activities and contributing to thought leadership on data modeling and architecture best practices.Mandatory skill sets:Data Modeller, Business AnalystPreferred skill sets:Data Modeller, Business AnalystYears of experience required:4-8 YearsEducation qualification:BE, B. Tech, MCA, M. Tech, MBAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Data ModelingOptional Skills 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}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date
