Data Analyst

• Work closely with Anfin’s Growth and Product team, leading the design and development of A/B testing
• Work with the Product team to evaluate the metrics to be monitored
• Suggest improvements/ recommendations based on the data insights to help business achieve the short term and long-term goal
• Conduct reports/ dashboards to track the changes in key important metrics (retention, churn, feature usage, email CTRs) and present to various stakeholders
• Design and implement an independent framework for answering analytics questions
• Support training for stakeholders to employ data analytics skills and tools

• At least 2+ years experience as a Data Analyst/ Data Scientist with the core product team
• Strong analytical skills (collect, organize, analyze, and convert raw data into insights)
• Knowledge of statistics and experience using statistical packages for analyzing datasets
• Has performed test statistics (A/B test) on product features
• Proficient use of SQL (MySQL, Bigquery)
• Experience with Python programming language
• Experience with Product Analytics Platform (Google Analytics)
• Experience with Visualization Tools (Google Data Studio, etc.)
• Experience with building Data Pipelines (Airflow), Google Cloud Platform is a plus

Quyền lợi

• Highly competitive compensation packages
• Offer qualified employees the opportunity for ESOP
• Performance review annually
• Providing a MacBook and monitor to ensure the quality of work
• Company events such as International Women's Day, Vietnamese Women's Day, Christmas, Company trips, and year-end parties
• Be a member of Anfin’s Football and Badminton club
• Bonus for the referral program, birthday, teambuilding,...
• 13th-month salary
• 17 leave days including 12 annual leave and 5 sick leave
• Periodic medical examination
• In addition to Social insurance, providing premium health insurance pays most medical and healthcare expenses.
• Opportunity to learn about financial literacy from industry experts to build an integrated brokerage offering a variety of asset classes.
• Be mentored by a leadership team who has extensive entrepreneurship experience, successfully founding and exciting Tech companies.