Welcome to the world of Data at MoMo!
CDO is MoMo’s central data team, not only working on individual projects of each department but also undertaking the scope of data analysis on many cross- departmental projects.
CDO focuses on data with 100% of its members having extensive data experience, which will help you develop many data- related skills – Data Analytics, Data Engineering, Data Science, etc.
At CDO, you will:
Get inspired: Work with massive and diverse datasets, from user behavior to market trends, to uncover insights that shape the future of MoMo.
Make an impact: Your analytics and reports will directly contribute to key decisions, from improving user experience to developing new products.
Join a young, dynamic team: Learn and develop continuously in a creative and enthusiastic environment.
Skill development: Receive thorough training in advanced data analysis tools and methods, participate in mentorship & training programs, and work directly with experienced colleagues in the data industry.
If you are passionate about data and want to make a positive impact, join MoMo’s CDO and help us write new success stories!
What you will do
The Data Analytics Team Leader 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 help supervise a team of Data Analysts and Trainees, and have the opportunity to directly influence the products and development of the company – their conclusions will have a wide- ranging impact on the commercial decisions of the business. The main tasks include, but are not limited to:
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
Analyzing complex data to drive insightful findings and translating them into meaningful, actionable recommendations for our stakeholders
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
Ad- hoc Reporting & Data Analysis duties or other responsibilities as required
Motivating, mentoring, and supervising team members, facilitating high performance
Designing and implementing solutions and best- practices, with automation and scalability in mind, to empower end- users to become self- reliant
What you will need
Minimum Qualifications
University degree (BA, BSc, etc.) in a quantitative discipline such as Statistics, Computer Science, Mathematics, Information Management; or
3+ years’ experience in Data Analytics or Business Intelligence
University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields
Key Skills/Experience Required
Critical:
Work proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunities
Strong leadership and project- management skills: defining clear team goals, delegating tasks, setting deadlines, planning and managing numerous processes, people, and projects simultaneously
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
Self- learner and quick to adopt new knowledge and technical skills
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations
Experience writing complex queries in SQL or other SQL- based languages
Ability to collect, organize, and analyze significant amounts of data with high attention to detail
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, Data Studio, R, Python, etc.)
Solid technical/functional knowledge in statistics
Prior supervisory/team lead experience is a plus
