Senior Data Research Analyst

The Position: Senior Data Research Analyst
Shift Requirement: US Shift

The Department: Managed Investment Data (MID)

The Group:
Morningstar is one of the largest independent sources of fund, 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.

The Role:

As a Senior Data Research Analyst, 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. You will effectively manage your performance and development to support our continuous operational success.

Roles Responsibilities:

• Actively collect managed investment data using Morningstar collection systems, and ensure data timelines, completeness and accuracy to meet business goals.
• Manage relationships between Morningstar and Asset Management companies, insurance companies and other data vendors.
• Partner with quality assurance, products, and technical departments to resolve clients data issues timely and effectively.
• Participate in the initiatives focused on consolidating global data collection platforms and supporting database integration projects.
• Establish and achieve the set Objectives Key Results (OKRs) with the direction of team lead.
• Monitor, analyze and execute summary reports including an investigation of potential data error to continuously improve data collection and quality assurance process using Lean Six Sigma 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.
• Facilitate cross-team projects to implement approved solutions based on priority and impact.
• Demonstrate a high sense of ownership of the process, understand roles responsibilities by acting as a process trainer and mentor

Requirements:

• > 3 years experience in finance domain, with emphasis on collection systems and methodologies, senior data research analyst role or above.
• Fund Data experience would be preferred
• Good command in MS Office (Excel, PowerPoint etc.); advanced users preferred. SQL, Macro or Python and machine learning will be a plus.
• Should be critical thinker and should possess good communication skill.
• Should be equipped with understanding of data competencies like data content expertise, data analysis etc.
• Strong analytical, problem-solving capabilities, and excellent communication written as well as verbal reporting skills.
• Should be a good team player with good learning ability and equipped with self-motivation in an independent, fast-paced work environment.
• Ability to exercise control over the planned activities like training / mentoring new hires, doing quality checks etc.
• Able to work under tight deadlines and handle pressure during peak seasons.
• Good project management skills with proven track record of working on and delivering projects independently.
• Remote team working experience is a plus.
• Flexibility to work in shifts.

Morningstar is an equal opportunity employer.

Morningstar s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We ve found that we re at our best when we re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you ll have tools and resources to engage meaningfully with your global colleagues.

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