Harman Data Analytics Internship 2026 | Data & Analytics Intern | Bengaluru — Apply Now

About the Role

As a Data & Analytics Intern at Harman Data Analytics, you will be working on building and optimizing SQL queries, Python scripts, and automation solutions for enterprise data workflows. Your primary focus will be on performing data analysis, data validation, and quality checks across multiple data sources. You will also be responsible for developing reusable utilities, reports, and dashboards to improve operational efficiency.

Key Responsibilities

• Build and optimize SQL queries to extract insights from large datasets.
• Develop Python scripts to automate data workflows and improve operational efficiency.
• Collaborate with cross-functional teams to deliver data-driven solutions and support software-engineering initiatives.
• Perform data analysis and validation across multiple data sources to ensure data quality and accuracy.
• Develop reusable utilities, reports, and dashboards to improve operational efficiency.
• Stay up-to-date with the latest trends and technologies in data analysis and engineering.
• Communicate complex data insights to non-technical stakeholders through reports and dashboards.

Skills & Qualifications

• Strong understanding of data analysis and engineering concepts.
• Proficiency in programming languages such as Python and SQL.
• Experience with data visualization tools like Tableau and Power BI.
• Knowledge of cloud platforms such as AWS, Azure, and GCP.
• Understanding of data storage and retrieval concepts.
• Strong problem-solving skills and attention to detail.
• Bachelor's degree in Computer Science, Data Science, or a related field.

What You'll Learn

As a Data & Analytics Intern at Harman Data Analytics, you will gain hands-on experience in data analysis and engineering, working with large datasets and developing automation solutions. You will also learn about the latest trends and technologies in data analysis and engineering, and how to communicate complex data insights to non-technical stakeholders.

Resume Tip

When applying for this role, make sure to highlight your experience with data analysis and engineering tools such as SQL, Python, and Tableau. Also, include any relevant projects or coursework that demonstrate your skills in data analysis and visualization.