Consultant- Business Analyst

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

1. Ensure End-to-End Data Quality & Governance within investment management, asset management, or financial services.

2. Establish and maintain business validation rules for product data elements used in various investment products such as Bonds, Equity, Mutual Fund, Private Equity, Traded products and also navigate through various fund management services tool such as Aladdin, Reuters, Bloomberg etc.

3. Collaborate with Data Quality teams to monitor completeness, accuracy, consistency, and timeliness of data across systems.

4. Maintain issue logs, drive root‑cause analysis, and oversee remediation to ensure clean data flows into IM tools and assets.

5. Support enforcement of enterprise data governance policies for product and performance data.

6. Establish data governance standards for product metadata, ensuring consistency across legacy systems and golden sources

7. Engage Data Owners & SMEs Across the Organization

8. Lead structured discussions with data owners, Product teams, Performance Reporting, Distribution, and Compliance to define and validate data definitions, lineage, and approved usage.

9. Build strong partnerships with data governance groups to ensure data requirements are embedded in enterprise data standards.

10. Manage change control process and participate in user acceptance testing (UAT) activities.

11. Implementation of data governance framework as a part of projects involved.

12. Identify and escalate issues in a timely manner.