Data Analyst

Responsibilities:

• Collect, clean, and organize large data from diverse sources, employing SQL, Python, and other tools.
• Apply advanced statistical techniques to analyze large datasets, identifying patterns and correlations.
• Translate complex findings into clear, actionable insights for non-technical stakeholders.
• Create reports and analysis data daily and provide deeper insights to stakeholders.
• Create compelling data visualizations and reports using tools like Tableau or Power BI.
• Collaborate with cross-functional teams to define data requirements and support data-driven projects.
• Develop predictive models to forecast trends and outcomes based on historical data.
• Ensure data accuracy and integrity through rigorous validation processes.
• Identifies problems and presents written solutions ensuring accuracy and validity of information.
• Analyzing data to identify potential risks/opportunity and trends and work with stakeholders to come up with recommendations to inform decision making.

Qualifications:

• Bachelor's degree in Mathematics, Finance, Statistics, Economics is preferable.
• Strong understanding of statistical techniques, hypothesis testing, and probability.
• Proficient in both English and Chinese languages.
• Experience with data visualization tools such as Power BI. Tableau is a plus.
• Proficiency in programming languages like Python or R for data analysis is a plus.
• Exceptional problem-solving skills and attention to detail.
• Excellent communication skills to convey insights to non-technical stakeholders.