Associate Data Research Analyst

About the Role
As a Level II Data Analyst in the Data Division, you will support complex data and data product cases that get escalated to be reviewed from the Level I support teams. You will work closely with Client Service Support, Data Product Management and Data Operations to ensure resolution of these issues. Our analysts are required to research identified issues, ensure timely resolution, and communicate outcomes to all appropriate team members. Timely resolution requires coordinating resources across various data teams. This position will report to Tiago Morais, Team Leader Level II of the Americas Data & Development Center.
Job Responsibilities• Work with the Level II Manager to define the Level II workflow for the Data Division. Contribute to ongoing efforts to streamline and improve this and related workflows• Utilize meta data to identify trends within large volumes of data cases. Propose solutions to mitigate those trends. Champion cross-team projects to implement approved solutions• Track, evaluate, and determine the resolution approach for complex data issues that escalate from the Level I teams (Product Support, Client Service Consultant and Relationship Management)• 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• Prioritize issues properly by severity and impact• Partner with Client Service, Product, and Sales to ensure issue management processes are followed• Understand roles, responsibilities, and expertise of internal stakeholders to successfully expedite issue resolution• This will also be a client facing role that needs to meet with client either call or in-person from time to time
Qualifications• A bachelor's degree is required• A minimum of 1 year of experience working with Morningstar's internal database tools and data collection processes, including but not limited to RDB, Data Manager, XOI, and TSDB• A minimum of 1 year of experience working with Morningstar data methodology.• Excellent writing, communication, problem solving, organizational, and analytical skills• Ability to work independently and manage competing priorities and deadlines• Ability to manage high volume of case work• Excellent computer skills• Morningstar Data Product & Software product knowledge is a plus
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