Data Analysis Intern

About the Role

We are seeking a motivated and detail-oriented Data Analyst Intern who is eager to learn and contribute to real-world data projects. As an intern, you will support the data team in transforming raw data into meaningful insights, building foundational data pipelines, and delivering accurate reports that enable data-driven decision-making across the organization.

Key Responsibilities

• Assist in building and maintaining data pipelines using Python, Pandas, and Polars, under guidance from senior team members.
• Support data cleaning, transformation, and validation, ensuring high data quality and consistency.
• Help develop and maintain data models used for reporting and analytics.
• Work with analysts and business stakeholders to understand data requirements and translate them into datasets or reports.
• Contribute to automated reporting and dashboard workflows, where applicable.
• Perform exploratory data analysis to identify trends, anomalies, and actionable insights.
• Clearly document data logic, assumptions, and processes for reusability and transparency.
• Take ownership of assigned tasks, proactively flag issues, and suggest improvements rather than waiting for instructions.
• Demonstrate a problem-solver’s mindset—digging deeper into data issues and following through until resolution.

Must-Have Skills

• Good knowledge of Python.
• Working knowledge of SQL (joins, aggregations, CTEs, window functions).
• Familiarity with Pandas for data manipulation.
• Strong analytical and problem-solving skills.
• A go-getter attitude with the ability to take initiative and deliver outcomes, not just complete tasks.
• Willingness to learn new tools and technologies quickly.
• Ability to work independently while taking feedback constructively.
• Good communication skills and strong attention to detail.

Nice to Have

• Exposure to PySpark or Polars.
• Basic understanding of ETL/ELT concepts and data workflows.
• Familiarity with Git or version control systems.
• Awareness of cloud platforms such as Azure or tools like Databricks.
• Fundamental understanding of data structures and algorithms.