Data Analyst
Corporate Web Solutions
Date: 1 week ago
City: Remote, Remote
Contract type: Intern
Remote
About Us
We are a dynamic team of data enthusiasts who are passionate about using data to drive impactful business decisions. We are looking for a motivated and detail-oriented Data Analyst Intern to join our growing team. If you're eager to learn and gain hands-on experience in data analysis, we want to hear from you!
Key Responsibilities
Assist in data collection, cleaning, and transformation to ensure accuracy and consistency
Analyze datasets to extract actionable insights, trends, and patterns
Create and maintain reports, dashboards, and visualizations for internal and client-facing purposes
Work with cross-functional teams to understand business needs and provide data-driven recommendations
Assist in building and maintaining data models, ensuring they meet business requirements
Support in automating repetitive tasks and processes for improved efficiency
Communicate findings and insights in a clear and concise manner to stakeholders
Requirements
Any Graduate / Pass Outs / Feashers can apply.
Current student or recent graduate in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field
Strong analytical skills with a keen eye for detail
Proficiency in data analysis tools (Excel, SQL, Python, R, etc.)
Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus
Excellent problem-solving skills and ability to work independently
Strong communication skills with the ability to present complex data insights clearly
Eagerness to learn and grow in the field of data analytics
Benefits
Internship Certificate
Letter of Recommendation
Performance-Based Stipend
Part-time work from home (2-3 hours per day)
5 days a week, fully flexible shift
Hands-on experience working with real-world data and business problems
Exposure to industry-standard tools and technologies
Opportunity to collaborate with experienced data professionals and teams
A chance to make meaningful contributions to projects that have an impact on the business
We are a dynamic team of data enthusiasts who are passionate about using data to drive impactful business decisions. We are looking for a motivated and detail-oriented Data Analyst Intern to join our growing team. If you're eager to learn and gain hands-on experience in data analysis, we want to hear from you!
Key Responsibilities
Assist in data collection, cleaning, and transformation to ensure accuracy and consistency
Analyze datasets to extract actionable insights, trends, and patterns
Create and maintain reports, dashboards, and visualizations for internal and client-facing purposes
Work with cross-functional teams to understand business needs and provide data-driven recommendations
Assist in building and maintaining data models, ensuring they meet business requirements
Support in automating repetitive tasks and processes for improved efficiency
Communicate findings and insights in a clear and concise manner to stakeholders
Requirements
Any Graduate / Pass Outs / Feashers can apply.
Current student or recent graduate in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field
Strong analytical skills with a keen eye for detail
Proficiency in data analysis tools (Excel, SQL, Python, R, etc.)
Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus
Excellent problem-solving skills and ability to work independently
Strong communication skills with the ability to present complex data insights clearly
Eagerness to learn and grow in the field of data analytics
Benefits
Internship Certificate
Letter of Recommendation
Performance-Based Stipend
Part-time work from home (2-3 hours per day)
5 days a week, fully flexible shift
Hands-on experience working with real-world data and business problems
Exposure to industry-standard tools and technologies
Opportunity to collaborate with experienced data professionals and teams
A chance to make meaningful contributions to projects that have an impact on the business
How to apply
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