Data Analyst Internship

Data Analyst Internship

Company: OpalCode

Duration: 2 Months

Work Mode: Remote (Work From Home)

Stipend: 15,000 - 20,000 per month 

About OpalCode

OpalCode is an IT company focused on software development, technology-driven solutions, and data-centric projects. We work on practical, industry-oriented assignments that encourage analytical thinking, technical problem-solving, and the application of modern tools to real-world business challenges.

Internship Overview

We are looking for motivated and detail-oriented Data Analyst Interns interested in working with data, identifying meaningful patterns, and generating actionable insights. Selected candidates will work on practical assignments involving data collection, cleaning, analysis, visualization, and reporting.

Roles and Responsibilities

1. Collect, clean, validate, and organize datasets from different sources.


2. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.


3. Use Excel, SQL, and Python to manipulate datasets and extract insights.


4. Work with Python libraries such as Pandas and NumPy for data processing.


5. Create dashboards and visualizations using Power BI, Tableau, or similar tools.


6. Analyse business metrics and key performance indicators (KPIs).


7. Identify data quality issues and recommend improvements.


8. Prepare analytical reports and communicate findings clearly.


9. Collaborate with team members on practical data analytics projects.

Required Skills

1. Basic knowledge of data analytics and statistical concepts.


2. Familiarity with Excel, SQL, and Python.


3. Understanding of data cleaning, transformation, and exploratory analysis.


4. Knowledge of Pandas, NumPy, Power BI, or Tableau is an advantage.


5. Strong analytical thinking, problem-solving, and attention to detail.

Eligibility Criteria

1. College students, freshers, and recent graduates may apply.


2. Candidates pursuing degrees in Computer Science, IT, Statistics, Mathematics, Data Science, Business Analytics, or related fields are preferred.


3. Candidates with an interest in data-driven problem-solving are encouraged to apply.

What You Will Gain

1. Hands-on experience with practical data analytics projects.


2. Exposure to industry-relevant tools, datasets, and analytical workflows.


3. Opportunities to build a project portfolio and strengthen your resume.


4. Internship completion certificate and Letter of Recommendation (LOR) for eligible performers.


5. Career guidance and professional development support.

How to Apply

Interested candidates can apply through Shine.com with an updated resume highlighting their technical skills, relevant projects, and interest in data analytics.

Note: The stipend is performance-based, and the amount awarded within the 15,000 - 20,000 monthly range depends on performance and applicable program terms.