Data & Analytics Working Student

Moody's; Brussel; Sur place; EUR 7 800 - 13 000; Plein temps

Résumé du poste

Moody's is seeking a Master’s student for a 3-month internship in Brussels to analyze data, document technical and business processes, and support data quality, governance, and reporting initiatives. You will collaborate with cross-functional teams, gather requirements, and contribute to KPI design and dashboards.

A strong foundation in data tools and a curiosity for AI are desired. You will develop technical documentation and learn Moody's data products while contributing to continuous

Qualifications

• Experience or coursework in data and analytics tools such as Databricks, SQL, Python, Power BI, Excel, Jira, and Confluence, coupled with a strong interest in data, analytics, and using data-driven insights to solve business problems
• Ability to research, synthesize, organize, and document technical information in a clear, accurate, and concise manner, adapting communication to different audiences
• Understanding of data management, data quality, governance, reporting, business analysis, and process improvement principles
• Experience or exposure to requirements gathering, stakeholder engagement, Agile delivery, testing/UAT, or operational improvement initiatives
• Strong analytical, problem-solving, communication, and collaboration skills, with excellent attention to detail
• Strong proficiency in Microsoft Excel and working knowledge of SQL for data analysis, validation, and comparison
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
• Curious and learning-oriented mindset, with the confidence to ask questions, challenge assumptions, explore new ideas, step outside your comfort zone, and continuously learn from others

Responsabilités

• Analyze data, develop technical documentation, and support data quality, governance, and process improvement initiatives
• Create and maintain clear, accurate, and well-structured technical and business documentation, including methodologies, business rules, requirements, process flows, user guides, and knowledge articles
• Research, analyze, and synthesize information from multiple sources to support documentation, decision-making, and project delivery
• Support data quality, data governance, reporting, and data management initiatives through data analysis, validation, testing, and issue investigation
• Collaborate with business and technical stakeholders to gather requirements, document processes, and contribute to continuous improvement initiatives
• Assist in the design and validation of KPIs, dashboards, metrics, and reporting solutions
• Explore opportunities to leverage analytics, automation, and AI to improve processes, efficiency, and data quality outcomes
• Continuously learn about Company Data products, processes, technologies, and industry best practices while contributing ideas and challenging existing approaches

Connaissances

Databricks

SQL

Python

Power BI

Excel

Jira

Confluence

Data analytics

Documentation

Stakeholder engagement

Formation

Master's degree in Computer Science or related field

Outils

Databricks

Power BI

Jira

Confluence

Description du poste

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• Experience or coursework in data and analytics tools such as Databricks, SQL, Python, Power BI, Excel, Jira, and Confluence, coupled with a strong interest in data, analytics, and using data-driven insights to solve business problems
• Ability to research, synthesize, organize, and document technical information in a clear, accurate, and concise manner, adapting communication to different audiences
• Understanding of data management, data quality, governance, reporting, business analysis, and process improvement principles
• Experience or exposure to requirements gathering, stakeholder engagement, Agile delivery, testing/UAT, or operational improvement initiatives
• Strong analytical, problem-solving, communication, and collaboration skills, with excellent attention to detail
• Strong proficiency in Microsoft Excel and working knowledge of SQL for data analysis, validation, and comparison
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
• Curious and learning-oriented mindset, with the confidence to ask questions, challenge assumptions, explore new ideas, step outside your comfort zone, and continuously learn from others

Education

• Currently pursuing a Master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Operations Research, Business Engineering, Information Systems, Mathematics, Statistics, Economics, Business Administration, or a related field
• Ability to complete a 3-month internship, with the possibility of extension, and availability to start as soon as possible

Responsibilities

Analyze data, develop technical documentation, and support data quality, governance, and process improvement initiatives:

• Create and maintain clear, accurate, and well-structured technical and business documentation, including methodologies, business rules, requirements, process flows, user guides, and knowledge articles
• Research, analyze, and synthesize information from multiple sources to support documentation, decision-making, and project delivery
• Support data quality, data governance, reporting, and data management initiatives through data analysis, validation, testing, and issue investigation
• Collaborate with business and technical stakeholders to gather requirements, document processes, and contribute to continuous improvement initiatives
• Assist in the design and validation of KPIs, dashboards, metrics, and reporting solutions
• Explore opportunities to leverage analytics, automation, and AI to improve processes, efficiency, and data quality outcomes
• Continuously learn about Company Data products, processes, technologies, and industry best practices while contributing ideas and challenging existing approaches

About the Team

Our Company Data team is responsible for managing and enhancing Moody's company data assets to ensure they are accurate, reliable, and fit for purpose. We contribute to Moody's by driving data quality and governance, developing scalable data management frameworks and reporting solutions, and supporting business and product teams with trusted data and insights.
By joining our team, you will be part of exciting work at the intersection of data, analytics, process improvement, and AI-enabled innovation, collaborating with global stakeholders to improve data products and business processes. As Moody's continues to expand the use and adoption of AI, you will have opportunities to explore how AI-powered tools and responsible AI practices can enhance data quality, operational efficiency, documentation, and decision-making.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.