Data Analyst

Data Analysis and Reporting

• Identify, analyze and interpret trends or patterns in complex data sets using script languages
• Develop and maintain dashboards and visualizations to empower operational and exploratory analysis
• Improve the operational efficiency of the business with analysis, reporting, and forecasting
• Implement statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports, and visualization of trends and patterns
• Implement A/B testing

Data Mining

• Collect data from different sources to enable the analysis
• Verify data availability, quality, completeness and identify action to take for data management
• Ensure the correctness of metadata, assure the process, logic is updated correctly

Qualifications

Bachelor's degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology

• 1-2 years of relevant experience focus on data-related tasks
• Experience in banking, finance, ecommerce or delivery companies
• Proficiency in SQL, Python, and BI tools
• Experience in data management, ETL, and analysis functions
• Strong analytical thinking, business sense, and communication skills
• Proven problem-solving skills, attention to detail, and exceptional organizational skills
• Basics knowledge in unsupervised and supervised learning methodologies
• Understand Agile principles, practices, and Scrum methodologies
• Experience in Spark is a plus

• Degree: Bachelor
• Age: Unlimited
• Working time: Permanent