Data Analytics Trainee will be a part of 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 about providing analyses, and insights. They will have the opportunity to directly influence the products, development of the company, and their conclusions will have a wide- ranging impact on the commercial decisions of the business.
What you will do
Build, develop, and maintain automated dashboards to monitor performance metrics;
Collaborate with internal team to consolidate requirements, understand business needs, and deliver projects in a timely manner;
Monitor data quality to ensure data sources are reliable and relevant to the team’s purposes;
Design, implement solutions and best practices with automation and scalability in mind, to empower end- users to become self- reliant;
Analyze complex data to drive insightful findings and translate them into meaningful, actionable recommendations for our stakeholders;
Execute types of projects include analyzing customer segmentation to enhance user acquisition/ engagement/ conversion/ retention and reporting standardization, gamification, A/B testing & experiment analysis for product development and optimization;
Make ad- hoc reports & data analysis duties or other responsibilities as required;
What you will need
Experience with Business Intelligent/ Analytics/ Statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.);
Strong spoken and written communication skills to explain findings clearly to the internal team as well as stakeholders;
Currently enrolled in a Bachelor of Arts/ Bachelor of Statistics, Computer Science, Mathematics, Information Management; or University degree with quantitative/statistics coursework such as Business, Economics, Marketing, or relevant fields;
Ability to collect, organize, and analyze significant amounts of data with high attention to detail;
Ability to query with SQL or other SQL- based platforms;
Have excellent analytical skills and problem- solving aptitude;
Self- learner and quickly adapt to new knowledge and technical skills;
Solid technical/functional knowledge in statistics.
Comfort working with a team collaboratively and independently;
Ability to visualize findings, create meaningful insights, and arrive at actionable recommendations;
