Responsibilities

• Analyze large datasets to extract actionable insights that support business decision-making.
• Develop and maintain dashboards, reports, and data models to monitor key metrics.
• Perform data cleaning, validation, and transformation to ensure data quality and integrity.
• Apply statistical analysis and basic machine learning techniques to solve business problems.
• Collaborate with cross-functional teams (Business, Product, Tech) to understand requirements and translate them into analytical solutions.

Requirement

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, Economics, or other related quantitative fields
• Minimum 1 year of experience in Data Science, including internship or portfolio projects
• Proficient in Python programming for data processing and analysis
• Strong SQL skills for database que...