Data Analyst

About us Bitget Wallet is the non-custodial crypto wallet designed to make crypto simple and secure for everyone.

With over 80 million users, we bring together a full suite of crypto services, including swaps, market insights, staking, rewards, DApp exploration, and payment solutions.

Supporting 130+ blockchains and millions of tokens, Bitget Wallet enables seamless multi-chain trading across hundreds of DEXs and cross-chain bridges.

Backed by a $300+ million user protection fund, it ensures the highest level of security for users' assets.

What you'll do Based on business goals and models, build a comprehensive, accurate, and business-reflective metrics system; monitor business performance through this system, promptly identify and locate issues or opportunities, and drive implementation.

Develop a data-driven operations framework, and collaborate with relevant teams to build data-driven operational capabilities, including product features and data modeling especially in growth, onchain, and modelling.

Conduct in-depth analysis on specific business issues through thematic research, providing data and decision-making support for business decisions such as platform mechanisms, product direction, industry strategies, and resource allocation; generate actionable business recommendations.

Perform exploratory data analysis to uncover user search behavior and habits, providing insights and guidance to enhance the user search experience.

Familiar with dimensional modeling and has experience in transactional or growth industries.

Collaborate with the data warehouse to continuously optimize data governance.

Provide data analysis and insights for the business.

What you'll need Bachelor’s degree or above in data mining, statistics, information and computational science, mathematics, or related fields; prior experience in data analysis for internet or wallet-related products is preferred.

Proficient in using data analysis tools and skilled in SQL; capable of independently writing and presenting business data analysis reports.

Experience in extracting valuable information from massive datasets, conducting aggregation and analysis, and presenting results through data visualization.

Strong learning ability, solid logical thinking skills, and effective communication capabilities.

At least 2 years of experience in data analysis for exchanges, brokers, or Web3 trading platforms; Solid data engineering skills, familiar with dimensional modeling, tracking data points, indicator systems, and product and growth analysis frameworks; Data visualization experience, familiar with tools such as DataWind and QuickBI; Strong ability to work under pressure. 岗位职责 基于业务目标和模式，构建全面、准确、能真实反映业务的指标体系；通过该体系监控业务表现，及时发现和定位问题或机会，并推动落实。 建立数据驱动的运营框架，并与相关团队协作，构建数据驱动的运营能力，包括产品功能与数据建模。 针对具体业务问题进行深入分析和专题研究，为平台机制、产品方向、行业策略及资源分配等业务决策提供数据与决策支持，并提出可执行的业务建议。 开展探索性数据分析，挖掘用户搜索行为与习惯，提供洞察和指导，优化用户搜索体验。 熟悉维度建模，具备交易型或增长型行业经验。 与数据仓库协作，不断优化数据治理。 为业务提供数据分析和洞察支持。 任职要求 本科及以上学历，数据挖掘、统计学、信息与计算科学、数学或相关专业背景；有互联网或钱包相关产品数据分析经验者优先。 熟练使用数据分析工具，精通 SQL；能够独立撰写并呈现业务数据分析报告。 具备从海量数据中提取有价值信息、进行汇总和分析的能力，并能通过数据可视化展示结果。 学习能力强，逻辑思维扎实，沟通能力良好。 至少 2 年交易所、券商或 Web3 交易平台数据分析经验。 具备扎实的数据工程能力，熟悉维度建模、埋点设计、指标体系以及产品与增长分析框架。 具备数据可视化经验，熟悉 DataWind、QuickBI 等工具。 具备较强的抗压能力。 If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!

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