As part of Data Quality team in Finance vertical, we help the finance teams across globe in developing and implementing a healthy enterprise data management framework.

 Worked as a Business Analyst for a Global Banking and Financial Solutions Organisation.• Actively involved in the development of Logical and Conceptual data models for the data elements using IBM Infosphere Data Architect tool.• Developed business glossary, data lexicon, data dictionary for the solution elements in the Global Trade and Financial Receivables space• Created business scenarios and use cases to validate the logical data models for the financial client.• Gap Analysis for the existing heritage data models in the disparate systems. Worked as a Big Data Analyst for a UK based Music Rights Management organization • Defined mappings, business rules, transformations and aggregations on recording sales data and distribution sales data for large volumes of data.• Conducted deep dive analysis of sales data, Artist data, Streaming data and Social Media data and created dashboards on Tableau.• Proposed and implemented a Metadata Repository and 360 degree artist view to monetize data. Worked as a MDM consultant and analyst for a Logistics major• Developed a common semantic layer with additional granularity, better data quality and standardized definitions.• Created an integrated reporting mechanism to provide greater insights and help make better decisions for revenue growth and operational efficiencies.• Involved in a Report Rationalization initiative to help eliminate confusion over conflicting reports, reduce useful report headcount, increase productivity and enable better business decisions. Maintaining and tracking the new developments and improvements, issues and bugs through JIRA and applying change control wherever required  Maintaining, updating and sharing the project documents through Confluence  Ongoing participation in consulting competency development activities