Morningstar

We are seeking a motivated and detail-oriented intern to join our Data Operations team at Morningstar Indexes. This internship offers 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

• Assist in the collection, validation, and processing of financial market data from various sources.
• Write and optimize SQL queries to extract and manipulate data from relational databases.
• Develop and maintain Python scripts for data transformation, automation, and reporting.
• Collaborate with cross-functional teams including Index Research, IT, and Product to ensure data integrity.
• Help document data workflows and contribute to process improvement initiatives.
• Monitor data pipelines and troubleshoot issues under supervision.
• Participate in team meetings and contribute ideas to improve operational efficiency.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Finance, Economics, or a related field.
• Basic proficiency in SQL and Python.
• Familiarity with relational databases and data structures.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to data accuracy.
• Ability to work independently and in a team-oriented environment.
• Good communication skills in English; German is a plus but not required.
• 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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