Description

Morningstar is one of the largest independent sources of funds, equity, credit data and research in the world, and our advocacy for investors interests is the foundation of our company. We provide independent analysis on individual securities, funds, markets, and portfolios. We also provide data on hundreds of thousands of investment offerings, including stocks, mutual funds, and alternative vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. In this role as Data Research Analyst, you will work on collecting operational, document, performance, and portfolio data from various vendor sources. You will adhere to the company goals, policies and procedures and work in a focused manner to achieve the overall objectives. You will be responsible for, with the help of leaders, ensuring and improving the performance, productivity and efficiency and the delivery of the operational performance KPIs (Key Performance Indicators). You will effectively manage your performance and development in order to support our continuous operational success.

Role and Responsibilities

• Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals. Work with product and technical teams to identify and solve data issues. Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors. Closely work with quality assurance, products, and technical departments to resolve clients data issues timely and effectively. Participate in the Center of Excellence initiative focused on reducing resource costs, consolidating global data collection platforms, and supporting database integration projects. Establish and achieve the set SMART goals with the direction of team lead. Continuously improve data collection and quality assurance process using LSS tools. Actively discover and raise issues in work (including system, process, and collection methodology) and propose enhancement suggestions to further improve system functionality, process efficiency and data quality. Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc.