- Salary
- ₹12k – ₹15k
- Location
- Mangaluru, India · Bangalore, India
- Type
- Internship
- Department
- Operations
- Seniority
- Internship
- Source
- Keka
Description
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.
Skills
PythonAzureSQLPandasDatabricksETLGit