
Data Analyst Internship
Research Engine
Role Overview
- Supports the data team by collecting, cleaning, and analyzing data to help businesses make informed decisions.
- Ideal for students or fresh graduates who want hands-on experience with real-world data.
Key Responsibilities
- Collect and organize data from various sources (databases, spreadsheets, APIs).
- Clean and preprocess raw data to ensure accuracy and consistency.
- Analyze datasets to identify trends, patterns, and insights.
- Create dashboards and visualizations using tools like Excel, Power BI, or Tableau.
- Assist in generating reports to support business decision-making.
- Work with team members to solve data-related problems.
- Perform basic statistical analysis and data validation.
Requirements
- Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field.
- Basic knowledge of Excel, SQL, and Python or R.
- Familiarity with data visualization tools (Tableau, Power BI, or similar).
- Strong analytical and problem-solving skills.
- Attention to detail and ability to work with large datasets.
- Good communication skills to present data insights clearly.
- Eagerness to learn and adapt in a fast-paced environment.
Preferred Skills (Optional)
- Experience with machine learning basics.
- Knowledge of databases and data warehousing.
- Understanding of business intelligence concepts.
Why Apply
- Gain practical experience with real data projects.
- Build a strong portfolio for future data roles.
- Learn industry tools and best practices.
- Improve analytical and technical skills.