Participate in an open collaboration program to gain hands-on, real-world experience in cybersecurity and build a robust portfolio. 🎯 About the Role This program is designed for…
Data Analyst Intern
- Location
- India
- Posted
- Status
- Closed
About this role
Embark on a practical data analytics journey with real-world business problems. This program is designed to equip you with hands-on skills and help build an impressive portfolio.
🎯 About the Role
This is a hands-on collaboration program for aspiring data analysts. You will work with real datasets, receive mentorship, and gain practical experience in data cleaning, analysis, and visualization, preparing you for a career in data analytics.
🛠️ Key Responsibilities
- 🧹 Work with Real Data: Clean, organize, and prepare business datasets for analysis.
- 🔍 Query & Analyze: Use SQL to extract meaningful insights from databases.
- 📊 Create Dashboards: Build interactive and insightful reports using Excel, Power BI, or Tableau.
- 📈 Generate Business Insights: Identify trends, patterns, and actionable recommendations from data.
- 🧑🏫 Collaborate with Mentors: Receive feedback and improve your analytical approach.
✅ Requirements & Skills
- 💡 Passionate about data analytics and eager to learn.
- 💻 Comfortable using Microsoft Excel or Google Sheets (pivot tables, formulas, charts).
- ❓ Familiar with basic SQL queries.
- 📈 Basic understanding of statistics and data visualization.
- ✨ Bonus if you have experience with Python, R, Power BI, Tableau, or data projects.
- 🤔 Curious, self-motivated, and willing to learn.
🎁 Perks & Benefits
- 🌍 100% Remote & Flexible.
- 💼 Hands-on Business Projects.
- 🧑🏫 Industry Mentorship.
- 🚀 Professional Growth.
- 📜 Certificate of Completion.
- 🌟 Letter of Recommendation.
⏳ Duration: Up to 6 Months
📍 Location: Remote
📩 How to Apply
Complete the application form and join our WhatsApp community for onboarding updates and batch joining instructions. The application deadline is 30th July.
How to apply
Applications are handled on in.linkedin.com, not here. The link below opens the original posting.
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