• Gather data from databases, APIs, surveys, and third-party tools, ensuring accuracy and relevance.
• Clean, transform, and organize raw data (handle duplicates, errors, standardization) to make it analysis-ready.
• Apply statistical methods to identify patterns, trends, anomalies, and relationships in the data.
• Develop dashboards, reports (using tools like Power BI, Tableau), and visualizations to communicate findings clearly to non-technical audiences.
• Translate data insights into actionable strategies for improving business processes, product features, or operational efficiency.
• Monitor data integrity, consistency, and compliance with internal policies and regulatory standards.

·       Bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems, or Engineering, or a related field

·       Minimum 2  years of experience as Data Analyst

·       Proficient in SQL for data extraction, manipulation, and managing relational databases

·       Familiar with at least one programming language, primarily Python or R, for data analysis, cleaning, and basic machine learning

·       Experience using business intelligence (BI) and data visualization tools such as Superset, Tableau, Power BI, or Looker

·       Strong proficiency in Microsoft Excel or Google Sheets, including advanced functions

·       A solid understanding of basic statistical concepts

·       Exposure to machine learning concepts and libraries can be a significant advantage