This position belongs to the Company’s central data team. The team is responsible for company- wide projects on data governance, analytics and operations, as well as supporting divisional data teams when necessary. The data analyst leverages both data analytics and engineering skills to ensure efficient data operations through data modeling, analysis and the development of data pipelines and supporting tools.
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 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:
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;
Collaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely manner;
A/B testing & experimentation analysis for product development and optimization;
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required;Types of projects include: customer segmentation; analyses to enhance user acquisition, engagement, conversion, retention; reporting standardization; gamification;
Designing and implementing solutions and best- practices, with automation and scalability in mind, to empower end- users to become self- reliant;
Monitoring data quality to ensure data sources are reliable and relevant for the team’s purposes;
What you will need
Minimum Qualifications:
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management; University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields;
Critical:
Excellent analytical skills and problem- solving aptitude;
Ability to collect, organize, and analyze significant amounts of data with high attention to detail;
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations;
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;
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;
Foster strong relationships with business units by establishing a culture of support and shared accountability within the team;
Sense of ownership, a growth mindset, and the ability to recommend solutions which are scalable;
Self- learner and quick to adopt new knowledge and technical skills;
Effectively collaborate within a team as well as work independently;
Desirable:
Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.);
Solid technical/functional knowledge in data systems (GCP, AWS, Azure);Extensive experience with DBT (Data Build Tool);
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