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
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required;
Analyzing complex data to drive insightful findings and translating them into meaningful, actionable recommendations for our stakeholder;
Designing and implementing solutions and best- practices, with automation and scalability in mind, to empower end- users to become self- reliant;
Building, developing, and maintaining automated dashboards to monitor performance metrics;
Collaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely manner;
Monitoring data quality to ensure data sources are reliable and relevant for the team’s purposes;
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.
What you will need
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.
Critical:
Self- learner and quick to adopt new knowledge and technical skills;
Experience writing complex queries in SQL or other SQL- based languages;
Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities;
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable;
Foster strong relationships with business units by establishing a culture of support and shared accountability within the team;
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;
Effectively collaborate within a team as well as work independently.
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;
Excellent analytical skills and problem- solving aptitude;
Desirable:
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.);
Solid technical/functional knowledge in statistics.
