Data Analytics Internship

Selected intern's day-to-day responsibilities include: 1. Collect, organize, and prepare datasets for analysis by identifying missing, inconsistent, or duplicate information.

2. Analyze datasets using tools such as Excel, SQL, Python, and Power BI to discover useful patterns and trends. 3. Create dashboards, charts, and analytical reports to communicate findings clearly.

4. Work on practical data analysis assignments involving business problems, performance metrics, and data-driven insights. 5. Participate in mentor-led sessions, implement feedback, and complete assigned projects within the internship period.

Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 2nd Nov'26 and 7th Dec'26 • are available for duration of 2 months • have relevant skills and interests • * Women wanting to start/restart their career can also apply.

Stipend: INR₹ 20,000 - 30,000 /month Deadline: 2026-12-02 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours, 5 days a week Skills required: Python, SQL, Data Analytics, Power BI and Tableau Other Requirements: • 1.

Students currently pursuing college, including those in their 1st, 2nd, 3rd or final year, are eligible to apply. • 2. Fresh graduates, entry-level candidates and individuals looking to restart their careers after a gap are welcome.

• 3. Applicants from Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics or related backgrounds may be preferred, while candidates from other academic disciplines can also apply.

• 4. Candidates interested in data, analytics and problem-solving are encouraged to apply. Familiarity with Excel, SQL, Python or Power BI is helpful but not required.

• 5. Applicants should be ready to learn, work with datasets, complete practical assignments and take guidance from mentors throughout the internship.

About Company: Opalcode is a technology-driven organization focused on building practical digital solutions while creating opportunities for emerging talent.

We work across areas such as software development, data analytics, artificial intelligence, cybersecurity, and business technology. Our approach emphasizes hands-on projects, industry-oriented exposure, and continuous skill development, enabling aspiring professionals to gain practical experience and contribute to real-world technology initiatives.