Data Analyst

As a Data Analyst , you will assist the Analytics and Business Intelligence team in collecting, cleaning, analyzing, and interpreting data to support strategic decision-making. This internship will help you understand end-to-end data analysis processes, enhance your analytical and technical skills, and gain practical experience working with real-world business data.

• Assist in collecting, cleaning, and organizing data from various internal and external sources.
  

• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
  

• Create and maintain dashboards and reports to track key performance indicators (KPIs).
  

• Support the team in preparing data visualizations and presentations for stakeholders.
  

• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven insights.
  

• Ensure data accuracy, consistency, and integrity across all reporting systems.
  

• Assist in automating data collection and reporting processes.
  

• Contribute to the improvement of data management and analysis workflows.
  
  

• Currently pursuing or recently completed a Bachelor’s or Master’s degree (preferably in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field).
  

• Strong analytical and problem-solving skills .
  

• Proficiency in MS Excel and basic understanding of data visualization tools (e.g., Power BI, Tableau).
  

• Familiarity with SQL , Python , or R for data manipulation and analysis is a plus.
  

• Attention to detail and ability to work with large datasets.
  

• Strong communication skills and ability to present findings clearly.
  

• Eagerness to learn and adapt in a fast-paced environment.
  
  

• End-to-end data analysis lifecycle — from data collection to visualization.
  

• Data cleaning, transformation, and validation techniques.
  

• Use of modern analytics tools and technologies (Excel, Power BI, SQL, etc.).
  

• How to translate data insights into business recommendations.
  

• Real-world data analytics and reporting best practices.