Responsibilities:

• Collect, organize, and maintain data from various sources.
• Clean and preprocess datasets to ensure accuracy and consistency.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create dashboards, reports, and visualizations using data analysis tools.
• Assist in preparing weekly and monthly performance reports.
• Analyze business data and provide actionable insights.
• Work with SQL databases to extract and manipulate data.
• Support senior analysts in data-driven projects.
• Document analysis processes and findings.
• Present analytical results to team members and stakeholders.

Requirements:

• Pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Basic knowledge of Python and data analysis libraries such as Pandas, NumPy, and Matplotlib.
• Understanding of SQL and database concepts.
• Familiarity with Microsoft Excel or Google Sheets.
• Basic knowledge of data visualization tools such as Power BI or Tableau.
• Strong analytical and problem-solving skills.
• Attention to detail and accuracy in handling data.
• Good communication and presentation skills.
• Eagerness to learn and work in a collaborative environment.