Data Analyst - MPO

Responsibilities

Team Intro The Monetization Product Operations (MPO) is responsible for Customer Support and Tools & Workflows within Product Strategy & Operations team. Its mission is to provide Best in class advertising experience by ensuring excellence in customer service and streamlining process & tools to ensure smooth operations. The team collaborates with Sales to provide post-sales support and works closely with product team on product improvement through feature requests and management of bugs. Responsibilities - Responsible for data analytics on the performance side - Analyze the factors that affect the improvement and growth of various products, and formulate reasonable goals and plan actions based on business direction - Cooperate with the investigation team/product team to promote the target alignment and implementation action plan of influencing factors - Understand business logic and requirements, break down business logic and requirements into an easy-to-use data analytics framework and metric system, produce data dashboards and analysis conclusions, and effectively monitor business situations - Problem decomposition and attribution should be comprehensively focused on from multiple dimensions such as business lines to product and R & D operations. Through multi-layer data analysis, drill down and disassemble, and finally fall into the business to improve basic problems and self-diagnosis capabilities. Establish an SLA mechanism for product and R & D operations, break down information barriers, reduce problem frequency, and reduce ticket problems - Through data drill-down analysis, combined with problem classification and attribution, we can break down solvable problems, promote product tool capacity building, ask diagnostic capabilities, and reduce volume direction. Data can be quantified and metrics can be measured

Qualifications

Minimum Qualification(s) - Bachelor's degree or above, with majors in statistics, mathematics, or computer science as bonus points. - At least 2 years of experience in data analytics, mastery of basic statistical principles, and proficiency in quantitative analysis. - Has strong learning ability and business line understanding and judgment, and can explore the connection between business details and data - Proficient in at least one database operation, such as Hive/MySQL, etc. Familiar with commonly used data analytics methods and proficient in at least one analysis tool, such as Excel/Tableau, etc. Preferred Qualification(s) - Background in data analytics, development, and algorithms is preferred. Proficient in using data analytics/mining languages, such as Python/R, is preferred.

Job Information