Key Responsibilities: 1. Data Collection and Cleaning: - Assist in gathering data from various internal and external sources. - Clean and preprocess data to ensure accuracy and reliability. 2. Data Analysis and Interpretation: - Conduct data analysis using tools such as Excel, SQL, Python, Power BI. - Identify trends, patterns, and correlations within data sets. - Support the team in creating data models and generating actionable insights. 3. Reporting and Visualization: - Assist in creating reports, dashboards, and visualizations using tools like Power BI, or similar. - Present findings to stakeholders in a clear and concise manner. - Support to find automation solutions for process improvement using python, power automate and etc. 4. Support in Projects: - Participate in ongoing data analytics projects. - Provide support in various data-related tasks as required by the team. 5. Documentation: - Maintain documentation for data processes and analytics projects. - Ensure all work is well-documented and can be referenced by other team members. Qualifications: 1. Educational Background: - Currently pursuing a Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. 2. Technical Skills: - Proficiency in data analysis tools and programming languages such as Excel, SQL, Python - Familiarity with data visualization tools like Tableau, Power BI, or similar is a plus. 3. Analytical and Problem-Solving Skills: - Strong analytical skills with the ability to analyze complex data and translate findings into actionable insights. - Ability to identify patterns, trends, and anomalies in data. 4. Communication Skills: - Strong written and verbal communication skills. - Ability to clearly communicate data findings and insights to both technical and non-technical audiences. 5. Teamwork and Learning Ability: - Ability to work collaboratively within a team environment. - Eagerness