About the Role Our EMEA Managed Investment Data Operations team is looking for a Data Research Analyst to process our data across global markets. We are a team of data analysts who have effective relationships with other teams and are committed to deliver best quality data. As a Data Research Analyst in the Data Division, you will work closely with the Global Data Team and Local Business Representatives, taking responsibility for data coverage, quality, and timeliness to the highest standards. The Operation Data Analyst will form closer links with providers related to data acquisition processes and gain knowledge of our database. The position will be based in our Data and Development Center EMEA in Madrid and will report to the Team Leader. Job Responsibilities • Actively collect & Process managed investment data using Morningstar collection systems, and ensure data timelines, completeness, and accuracy to meet business goals. • Collaborate closely with the global data teams. • Data expert on investment data points, processes, methodologies, calculations & different fund structures. • Manage business relationships with fund companies. Connecting with providers & setting up acquisition channels for complex and more advance data as well as acting as a point of escalation. • Meet the predetermined production deadlines for internal and external clients. • Continuously evaluate procedures, create and enhance analytical tools, and implement process improvement projects. • Utilize project management methodologies such as LEAN Six Sigma to track, evaluate and determine resolution approach for complex data issues. • Demonstrate a high sense of ownership of the issues in the data ticket queue to be responsive and provide timely updates, follow-up, expedition, and resolution. • Understand roles, responsibilities, and expertise of internal partners to expedite issue resolution. • Translate requests from internal clients into detailed written specifications and user stories. • Improve and document client use cases to ensure any new functionality meets and exceeds client expectations Qualifications • A bachelor’s degree or equivalent is required. • Proficient oral and written English and Korean skills are mandatory • Collaborates well in a team environment, have the ability to communicate and work with team members from diverse backgrounds, in a conscientious and inclusive way. • Be client centric. • Solid understanding of the financial industry and passionate about investment data. • Excellent organizational and time-management skills, capable of handling high volumes of data and meeting strict deadlines. • Proficiency in Microsoft Excel Nice to have • You will be collaborating with cross functional teams and leading from the front when it comes to Operational data, Performance data, etc, so experience within data methodology/quality and processes is a plus. • Previous experience in project management is preferred. • SQL and Python skills will be valued Base Salary Compensation Range EUR 30.000,00-40.000,00 Bonus Target: 5% Annual We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate’s qualifications, experience, and other job-related factors. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office 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. 302_MstarEurServSL Morningstar Europe Services, S.L. Legal Entity Morningstar is a global independent investment research and financial data company. Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success. Company overview Morningstar Development Program Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

Data Research Analyst (Korean Speaker).

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