Data Analyst
Occupations:
Business Intelligence AnalystsData ScientistsData Warehousing SpecialistsComputer Systems AnalystsFinancial and Investment AnalystsIndustries:
Educational Support ServicesWeb Search Portals, Libraries, Archives, and Other Information ServicesOther Professional, Scientific, and Technical ServicesBusiness Support ServicesActivities Related to Credit IntermediationBusiness Data Analysis and Decision SupportResponsible for data analysis, business analysis, and Business Intelligence support for relevant business lines in the New Jersey office, driving data driven and refined business operations.Support daily data requests from business teams, including ad hoc analysis, campaign reviews, business monitoring, anomaly diagnosis, and temporary analysis support.Work with business teams to define core metric standards, calculation logic, and analysis dimensions, and continuously build standardized metric systems and data governance practices.Deliver verifiable data results, SQL logic, analysis reports, and business conclusions to ensure data accuracy, consistency, and traceability.Analyze user growth, conversion, retention, trading behavior, and business performance based on business goals, and provide practical optimization recommendations.Finance and Fiat Business Data SupportSupport finance related data extraction, reconciliation, and business analysis, including account reconciliation, cost analysis, fund flow tracking, and monitoring of key business metrics.Responsible for daily maintenance, optimization, and stable delivery of reports and data systems for the fiat business line.Assist in identifying and resolving data anomalies, inconsistent metric definitions, and data pipeline issues, continuously improving data quality and data governance.Establish monitoring mechanisms for key business metrics to improve data transparency and operational efficiency for finance and fiat related businesses.Operations and Marketing Data AnalysisSupport data analysis needs for user operations, spot operations, VIP, institutional, Business Development, Public Relations, and European market teams.Build and maintain daily reports, weekly reports, business dashboards, and ad hoc analysis systems to support business decision making.Evaluate campaign performance, channel quality, and growth results, and provide growth insights and strategy recommendations.Promote the development of data products and systematic analysis frameworks based on business stages and goals.AI Data Analysis and Efficiency ImprovementExplore and promote the implementation of AI in data analysis scenarios, including natural language data queries, automated analysis, intelligent reporting, and data insights.Use AI tools such as ChatGPT, Claude, Databricks AI, and Copilot to improve data analysis efficiency and business response speed.Participate in building AI assisted analysis workflows, including prompt optimization, analysis template development, and data analysis automation practices.Continuously follow AI application trends in Business Intelligence, data analysis, and data governance, and promote the adoption of best practices within the team.QualificationsEducation and ExperienceBachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Economics, Finance, or a related field.3 or more years of experience in data analysis, business analysis, or Business Intelligence.Able to independently complete requirement clarification, data extraction, analytical modeling, and conclusion delivery.Experience in internet, fintech, trading platforms, e-commerce, or related industries is preferred.Technical SkillsProficient in SQL, with the ability to write complex queries, including multi-table joins, aggregation, window functions, and query optimization.Familiarity with big data analysis environments such as Hive, Spark, or Databricks is preferred.Proficient in Excel and skilled in at least one Business Intelligence tool, such as DataWind, Tableau, Power BI, FineBI, or similar tools, for data visualization and dashboard building.Strong basic statistical analysis skills, including year over year and month over month analysis, funnel analysis, retention analysis, user segmentation, and anomaly fluctuation analysis.Experience using Python, especially pandas, for data processing, automated analysis, or data cleaning is preferred.AI Application SkillsFamiliar with the use of mainstream AI tools in data analysis scenarios, with practical experience in AI assisted analysis preferred.Able to use AI to improve efficiency in SQL writing, data exploration, analysis report generation, and operations analysis.Interested in or experienced with AI plus Business Intelligence, intelligent analytics, and natural language data query tools.Experience with AI data products, intelligent data query platforms, or analytical automation projects is preferred.Soft SkillsStrong business understanding, with the ability to translate business problems into analyzable data questions.Strong logical thinking, communication, coordination, and cross functional collaboration skills.Strong sense of responsibility, with the ability to prioritize effectively and drive progress in a multi task environment.Good documentation habits and strong awareness of data standards.Preferred QualificationsExperience in cryptocurrency, exchanges, futures or spot trading, payments, or fiat related businesses.Experience building metric systems, data governance frameworks, or business analysis systems.Experience with Databricks, natural language data queries, Large Language Model applications, or automated analysis projects.Good English reading and writing skills, with the ability to support overseas business communication and analysis.