Senior Data Analyst at Agoda

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to understand fraud, how it relates to Agoda’s strategy and products, and how to prevent it.
• Build advanced predictive models to understand the impact of specific fraudulent behaviors, trends and patterns.
• Work closely with cross-functional teams of data and backend engineers, analysts, user researchers, product managers and designers who are passionate about Agoda’s success
• Build and analyze dashboards, reports and key datasets to empower operational and exploratory analysis of fraud.
• Understand how user fraud affects other consumers of our data, including insights and feature teams, and work across the data landscape to minimize impact and drive influence wherever possible.
• Communicate data-informed insights and recommendations to key stakeholders, engineering and product partners.

Qualifications

• Bachelor’s Degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline
• Previous experience working in fraud detection and prevention, with an understanding of the impact that has on other areas in the company where business and product decisions are made.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala)
• Data visualizations such as Tableau or your weapon of choice.
• Knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection a plus
• Strong analytical and statistical analysis skills in order to extract insights and recommendations
• Fluent in English with strong communication skills (both written and verbal)