Logify Inc. Data Analyst

₱30-50K[Monthly]

现场办公 - 帕赛全职1-3年经验本科

统计分析数据分析SQL画面软件

Responsible for the construction of basic business data within the company, and use data capabilities to drive the achievement of business goals. Including but not limited to business data insight analysis, underlying database table design, internal and external data tool platform iteration, etc.;
Responsible for designing data dimensions based on business needs and building integrated data capabilities for growth and monetization, including but not limited to industry traffic and budget internal and external data capabilities and analysis tools;
Establish scientific and reasonable business evaluation indicators, discover business problems or opportunities based on data analysis, design and deliver industry-leading operational strategy solutions, and accumulate methods and operational tools;
Coordinate multiple resources, do a good job in demand and project management, follow up the entire development/testing/launching/application process, and continue to improve product delivery efficiency and quality;

Full-time undergraduate degree in statistics, computer science, finance or above, more than 1 year of experience in platform data model construction and operation analysis, familiar with data-driven business models, certain blockchain awareness, and able to understand the operation of blockchain financial products work goals;
Sensitive to data, have excellent business understanding and logical induction capabilities, be good at communication and expression, and have the ideal of data-driven commercialization process;
Have comprehensive capabilities in business logic, product thinking, innovative thinking, project management, and teamwork, have positive values, and integrate knowledge with action;
Master common data analysis and processing methods, and be able to skillfully apply PowerBI, Tableau and other data processing and analysis tools; statistics, computer, mathematics or other related professional backgrounds are preferred, and those with practical experience in data-driven business are preferred.