Data Analyst Intern

Skills:
Data Analysis, SQL, Data Visualization, Statistical Analysis, Python, Excel, Data Cleaning, Critical Thinking,
Job Overview
The Data Analyst position at TwiLearn is an ideal opportunity for freshers looking to gain valuable experience in the data domain. This internship is available in multiple locations, including Pune, Mumbai, Bangalore, Kolkata, Hyderabad, Noida, and Gurgaon. As an intern, you will have the chance to work alongside experienced professionals and build a strong foundation in data analysis.
Qualifications And Skills

• Proficiency in data analysis to interpret and derive meaningful insights from complex datasets is required.
• Experience with SQL (Mandatory skill) to manipulate and query databases efficiently.
• 
  Data visualization skills (Mandatory skill) to represent data through charts and graphs for clear interpretation.
• Ability to perform statistical analysis to make data-driven decisions and predictions.
• Experience with Python for data manipulation, analysis, and automation tasks.
• Proficiency in Excel to handle data organization, analysis, and visualization.
• Skills in data cleaning techniques to ensure data quality and reliability.
• Critical thinking skills to approach problems logically and make informed decisions based on data.
  

Roles And Responsibilities

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• Conduct data analysis to identify trends, patterns, and insights that support business decisions.
• Create data visualizations using tools like Tableau or PowerBI for easy and effective communication of insights.
• Collaborate with team members to understand data requirements and deliver suitable solutions.
• Utilize SQL to extract, transform, and manage data stored in databases and data warehouses.
• Develop and maintain dashboards to facilitate data-driven decision-making processes.
• Ensure data accuracy and integrity through robust data cleaning processes.
• Support the team in designing metrics and KPIs to evaluate business performance.
• Participate in regular meetings to present findings and suggest improvements based on data analysis.