Data Analyst Intern - diákmunka

Munkavégzés helye: Budapest XIII., Budapest

As the world’s largest asset manager and a leading provider of financial technology, BlackRock’s purpose is to help more and more people experience financial well-being. Founded in 1988 and based in New York City, BlackRock operates globally, with more than 70 offices spanning 40 countries, and clients in over 100 countries. They opened their Budapest Innovation Hub in 2017, with the idea that technology and finance go hand-in-hand – something they’ve believed since their founding. As a firm and together with their clients, they work to create a more equitable and resilient world, today and for generations to come.

• Assess internal intelligence and evaluate third-party data sources to close data quality gaps
• Ensure data integrity and contribute to data governance initiatives
• Drive operational efficiency by identifying automation opportunities and optimizing recurring processes
• Take ownership of operational tasks and reduce manual workload through scalable solutions
• Leverage internal data platforms to generate client insights and enhance transparency
• Collaborate with cross-functional teams to evaluate data supporting strategic KPIs
• Build data-driven business intelligence and competitor insights
• Partner with GPS teams and stakeholders across regions to align on data initiatives and share best practices

• 2950 Ft/hour in gross
• Internship confirmation
• Opportunity to partly work from home (1 day/week)
• Learning and development opportunities
• Possibility to evolve and gain valuable experience
• Join one of the world’s leading asset management firms

• The position is open for applicants with active or passive university student status for at least one more year
• Fluency in written and spoken English is essential
• Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI)
• Excellent knowledge of Microsoft Excel and PowerPoint
• Willingness to become fluent in Python or similar programming languages
• Proactive, forward-thinking, and detail-oriented with strong multitasking and prioritization skills
• Strong interest in solving analytical problems using quantitative methods
• Comfortable working with complex, high-volume, high-dimensional data
• Flexible analytical approach adaptable to varying levels of precision
• Ability to streamline, scale, and automate data processes
• Strong relationship-building and teamwork capabilities

• Experience in data maintenance