Data Research Analyst

Detalles de la oferta

Our EMEA Data 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 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.
Responsibilities 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 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.
Collect and maintain Morningstar data, ensuring high levels of data accuracy, completeness and coverage.
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.
Requirements A bachelor's degree or equivalent is required Solid understanding of the financial industry and passionate about investment data.
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.
Sensitive to clients' needs Excellent organizational and time-management skills, capable of handling high volumes of data and meeting strict deadlines You will be collaborating with cross functional teams and leading from the front when it comes to Portfolio data, Performance data, etc.
so experience within data methodology/quality and processes is a big bonus.
Previous experience in project management is preferred.
Proficiency in Microsoft Excel Hybrid Work 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.
Application Process When you find a position you're interested in, click the 'Apply' button.
Please fill out this form completely, attaching your resume and cover letter in the approved format.
Read the job requirements carefully and make sure to attach writing or design samples as required.
Applicants must submit their resume and other information through our corporate website to be considered for a job at Morningstar.
No phone calls, please.
Applicants With Disabilities Who Need Accommodation Morningstar is committed to working with and providing reasonable accommodation to individuals with disabilities.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 312 384-3900 or email ****** and let us know the nature of your request and your contact information.
Equal Opportunity 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.
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