Data Analytics Intern (Digital Bank)

Key Responsibilities

• Develop interactive, insightful dashboards using tools like Tableau, Power BI or QlikSense.
• Conduct data analysis using SQL, focusing on transforming and manipulating large datasets.
• Work alongside the Data Engineering team to help build and maintain data pipelines for data ingestion, transformation and storage.
• Write and optimize Azure Canvas workflows to automate and manage data processes.
• Utilize Python for data processing, manipulation, and automation of repetitive tasks.
• Take ownership of your projects, driving them forward with support from your manager and team.
• Put your findings into context and provide actionable recommendations for improvement.

What we Require

• Recent graduate or currently pursuing a degree in computer science, engineering, mathematics or a related field.
• Solid programming skills in Python with the ability to write efficient and maintainable code.
• Proficiency in at least one BI tool, such as Tableau, Power BI or QlikSense.
• Knowledge of SQL for data manipulation and querying, including experience with data transformations.
• Strong curiosity, enthusiasm, and a passion for learning.
• Experience in hackathons or previous internships in data roles is highly valued.