About the Role In this role, you will participate in the analysis of new feature/content requests and help multifunctional development teams to understand WHAT needs to be done to meet internal and external user’s needs through Morningstar’s next-generation enterprise data platform. This platform will ultimately support ALL of the products offered by Morningstar. You will collect requirements and analyze and document use cases, provide test strategy and test cases for QA teams. You will also be in charge of building a detailed methodology for calculation and data logic for ETL/ELT. Finally, you will write documentation to build a deep knowledge base for global client support teams to investigate issues and answer clients’ questions. The ideal candidate will have a passion for data and technology, excellent communication capability , and the ability to develop a strong understanding of Morningstar data and methodologies. Job Responsibilities 1. Communicate with internal and external clients, client success teams to understand and clarify business requirements. 2. Convert business requirements into actionable solutions through detailed analysis such as calculation prototyping, usage analysis, and data mapping/mining/locating in various data sources. 3. Write specifications according to requirements and explain details to the project team. 4. Collaborate with PM, tech leader, developer, and QA to deliver the project according to requirements, such as test account creation, calculation verification. 5. Support existing business and products. 6. Work in multiple streams to help deliver projects across the platform Help 7. Work on multiple projects as the need arises to ensure smooth and expedient delivery of work across the platform. Qualifications • 3 years of business analysis or data analysis • ~1 years of experience with Morningstar software and or Data • Self-motivated, excellent work ethic, strong interpersonal and communication skills, ability to work in a team environment • Excellent problem-solving skills • Ability to learn quickly and work independently • Advanced knowledge in data business and methodology of Equity, Fund, and Fixed Income • Intermediate knowledge of SQL, Python – a must have • Basic knowledge of Jupyter notebook, Amazon web service 001_MstarInc Morningstar Inc. Legal Entity