Key Responsibilities:

• Data Collection: Gather data from various sources, such as databases, online platforms, and other relevant platforms. Ensure data quality and accuracy during the collection process.
• Data Cleaning and Preparation: Clean, preprocess, and transform raw data into a usable format. Address missing or inconsistent data to ensure data integrity.
• Data Mining and : Utilize data mining techniques and statistical methods to explore large datasets and identify patterns, trends, and correlations.
• Research Support: Assist senior researchers in conducting literature reviews, gathering background information, and preparing data sets for research projects.
• Report Generation: Generate a report of prospects and add it into CRM
• Collaborative Projects: Collaborate with cross-functional teams.
• Tools and Technology: Stay up-to-date with the latest data mining processes, software, and methodologies. Utilize appropriate tools to streamline data analysis processes and improve efficiency.
• Data Privacy and Security: Ensure compliance with data privacy regulations and company policies while handling sensitive data.
• Continuous Learning: Proactively seek opportunities for professional development in research methodologies, data mining techniques, and domain-specific knowledge.
• Problem Solving: Use critical thinking and problem-solving skills.