What you will do
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 MoMo. This candidate should enjoy managing high volumes of
Collaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely manner;
Types of projects include: customer segmentation; analyses to enhance user acquisition, engagement, conversion, retention; reporting standardization; gamification; A/B testing & experimentation analysis for product development and optimization;
Monitoring data quality to ensure data sources are reliable and relevant for the team’s purposes;
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required;
Building, developing, and maintaining automated dashboards to monitor performance metrics;
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;
What you will need
Minimum Qualifications
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management; or University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields
Key Skills/Experience Required
Critical:
Self- learner and quick to adopt new knowledge and technical skills
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations
Ability to collect, organize, and analyze significant amounts of data with high attention to detail
Effectively collaborate within a team as well as work independently
Experience writing complex queries in SQL or other SQL- based languages
Excellent analytical skills and problem- solving aptitude
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
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable
Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities
Foster strong relationships with business units by establishing a culture of support and shared accountability within the team
Desirable:
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)
Solid technical/functional knowledge in statistics
