We are seeking a motivated and detail-oriented Associate to join our Data Operations team at Morningstar Indexes. You'll be having a hands-on experience in managing and processing financial data, supporting index production workflows, and contributing to data quality initiatives. The ideal candidate will have foundational skills in SQL and Python, a passion for data, and a strong analytical mindset.
Key Responsibilities
1. Assist in the collection, validation, and processing of financial market data from various sources.
2. Write and optimize SQL queries to extract and manipulate data from relational databases.
3. Develop and maintain Python scripts for data transformation, automation, and reporting.
4. Collaborate with cross-functional teams including Index Research, IT, and Product to ensure data integrity.
5. Help document data workflows and contribute to process improvement initiatives.
6. Monitor data pipelines and troubleshoot issues under supervision.
7. Participate in team meetings and contribute ideas to improve operational efficiency.
Qualifications
8. Bachelor’s or Master’s degree in Data Science, Computer Science, Finance, Economics, or a related field.
9. Basic proficiency in SQL and Python.
10. Familiarity with relational databases and data structures.
11. Strong analytical and problem-solving skills.
12. Attention to detail and commitment to data accuracy.
13. Ability to work independently and in a team-oriented environment.
14. Good communication skills in English; German is a plus but not required.
15. Interest in financial markets and index methodologies is a plus.
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.
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