MoMo is a FinTech startup that offers a mobile, electronic wallet and payment application for iOS and Android devices. Its products help customers in Vietnam make nationwide cash transfers, pay more than 100 types of bills, recharge mobile phone accounts, settle personal loans, and purchase services such as software licenses, online game cards, etc.
The Data Science team in Hanoi, part of the Technology Center, is responsible for developing Artificial Intelligence and Machine Learning systems like Recommendation Platform, Face Payment System, Spam Filtering system etc. We do those systems by analyzing users’ behaviors and by extracting insights to design and implement new Machine Learning algorithms to help our users seamlessly engage with the MoMo app. Recently, the team is trying to incorporate social signals by leveraging Social Graphs and Graph Mining techniques to support the user base growth and sales in MoMo. The team has publications in international conferences and an allowance USA Patent in AI recommendation
What you will do
Key Responsibilities
The Data Analyst will be part of the Data Analytics team, and work to supplement the analytics and visualization contributions towards the data- driven decisions at designing new AI algorithms as well as business developments.This candidate should enjoy managing high volumes of commercial and operational data and be comfortable providing analyses and insights. They will have the opportunity to directly influence the products and development of the company, and their conclusions will have a wide- ranging impact on the commercial decisions of the business. The main tasks include, but are not limited to:
Types of projects include: conjoint analysis, basket base analysis, customer segmentation; analyses to enhance user acquisition, engagement, conversion, retention; reporting standardization; gamification;
Have an opportunity to learn how to apply AI, Machine Learning on Growth with regards to user base and business.
Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities
Monitoring data quality to ensure data sources are reliable and relevant for the team’s purposes
Collaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely manner
Designing and implementing solutions and best- practices, with automation and scalability in mind, to empower end- users to become self- reliant
Analyzing complex data to drive insightful findings and translating them into meaningful, actionable recommendations for our stakeholders
Building, developing, and maintaining automated dashboards to monitor performance metrics
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required
Implement A/B testing and extract insights from it. After that, collaborate with the AI team , product team as well as Business team to design new algorithms or features.
What you will need
Minimum Qualifications
University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management; or
Key Skills/Experience Required
Critical:
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable
Effectively collaborate within a team as well as work independently
At least 2 years of experience in data analysis, statistical modeling.
Strong spoken and written communication skills (in both English and Vietnamese) to collaborate with team members and to explain findings clearly to internal team as well as stakeholders
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations
Excellent analytical skills and problem- solving aptitude
Ability to collect, organize, and analyze significant amounts of data with high attention to detail
Proficiency in programming languages such as Python, R, or SQL.
Self- learner and quick to adopt new knowledge and technical skills
Desirable:
Solid technical/functional knowledge in statistics
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)
