Opportunity brief
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.