Hybrid Data Analyst Intern: Investment Data & Insights

Morningstar; Madrid; Híbrido; EUR 6700 - 13 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

In-person collaboration weekly

Resumo da oferta

Morningstar is seeking a Data Analyst Intern for its EMEA Data Team to process data across global markets. The role focuses on data coverage, quality, and timeliness, based in the Data and Development Center EMEA with hybrid work options.

You will work with global colleagues, support data collection, and help improve analytical tools and data processes. Strong financial data understanding and multilingual abilities are highly valued.

Qualificações

• Currently studying or recently graduated for BA Degree.
• Fluent in English and Italian is a must.
• Fluency in another European language is a plus (with preference to German and French).
• Solid understanding of the financial industry and passionate about investment data.

Responsabilidades

• Work with Data Research Analysts on collection and maintenance of Morningstar data with high accuracy.
• Assist Data Research Analysts meet production deadlines.
• Contribute to project teams evaluating procedures and creating analytical tools.
• Help analyze investment data points and respond to queries from data team.
• Organize meetings and support day-to-day activities of the Analyst team.
• Use LEAN Six Sigma methodologies to track and resolve complex data issues.
• Collaborate with fund companies and 3rd party data providers to collect data.

Conhecimentos

English

Italian

Team player

Data analysis

Project management

Automation interest

Formação académica

BA Degree

Ferramentas

Microsoft Office

Descrição da oferta de emprego

Morningstar is seeking a Data Analyst Intern for its EMEA Data Team to process data across global markets. The role focuses on data coverage, quality, and timeliness, based in the Data and Development Center EMEA with hybrid work options.

You will work with global colleagues, support data collection, and help improve analytical tools and data processes. Strong financial data understanding and multilingual abilities are highly valued.