BI Data Analyst

Job Responsibilities 1. Collect, organize, analyze, and visualize exchange business data; build and maintain business data reports and BI analysis dashboards to provide data support for management and business departments. 2. Analyze core business metrics of the platform, including trading volume, transaction fees, user growth, user retention, user activity, asset accumulation, and conversion rates, to identify business growth opportunities. 3. Conduct data analysis for spot trading, derivatives, and wealth management businesses; monitor business performance, user behavior, and market changes; identify abnormal data and provide timely feedback. 4. Support data needs for BD, operations, marketing, product, and other business departments; provide thematic analysis, business reviews, and data-driven decision-making recommendations. 5. Participate in the construction of the data metric system; unify the definitions, statistical standards, and data standards of core business metrics to enhance data accuracy and consistency. 6. Identify issues related to user growth, trading conversion, user retention, and fee income through data analysis, and propose actionable business optimization suggestions. 7. Collaborate with product, technology, and data teams to promote the construction and optimization of data tracking, data warehouses, and BI tools. Requirements 1. Bachelor’s degree or above, preferably in statistics, mathematics, computer science, data analysis, finance, or related fields. 2. More than 2 years of experience in BI data analysis or business data analysis; experience in Web3 exchanges, digital assets, or financial technology industries is preferred. 3. Proficient in SQL, capable of independently completing complex data queries, data cleaning, and analysis tasks. 4. Familiar with at least one BI visualization tool, such as Tableau, Power BI, Looker, Metabase, FineBI, etc., with experience in building data dashboards. 5. Familiar with common data analysis methods, capable of conducting user segmentation, funnel analysis, retention analysis, conversion analysis, and business trend analysis. 6. Strong business understanding ability, capable of translating data analysis results into business insights and actionable optimization suggestions. 7. Strong logical thinking, communication, coordination skills, and data sensitivity; able to independently advance analysis projects and support cross-department collaboration.