Data BP 数据BP（出海香港）

About us Bitget is one of the world's leading digital assets ecosystems.

With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com.

Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance.

What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions.

We are one of the fastest growing companies in the digital asset sector.

If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget!

What you'll do Provide data support across all business lines of the exchange, including but not limited to Spot/Derivatives (Futures, Margin, Options), Wealth Management/Lending, Funds & Deposit/Withdrawal, Growth & Marketing, Institutional/VIP, Risk & Compliance, Customer Service and Operations.

Quickly understand key business flows and rules, and translate business questions into measurable metrics and analytical frameworks.

KPI system collaboration and governance: the KPI system is primarily built by business teams and/or the data middle platform.

As a Data BP, you are expected to deeply understand business goals and operating actions, help business teams define and establish metrics (definitions, dimensions, granularity, boundaries), and take ownership of KPI governance (definition alignment, versioning, lineage/usage documentation, data reconciliation & quality checks, change impact assessment and communication).

Monitoring and root-cause analysis: build and maintain core business/operations/risk dashboards and alerting mechanisms.

Monitor key metrics on a daily basis, analyze metric dynamics periodically, identify and diagnose anomalies promptly, and provide actionable intervention/adjustment suggestions with closed-loop tracking and post-mortems.

Requirement abstraction and cross-team delivery: consolidate scattered business requests into structured requirements.

Abstract business logic and metric definitions into data models (subject areas, fact/dimension tables, wide tables, aggregates, field definitions), produce deliverable requirement documents and work with the data warehouse engineering team to implement them.

Abstract dashboard, self-service analytics, metric query, alert subscription, etc. into data tool/product requirements and drive roadmap planning, acceptance and iteration with the data product team.

Cross-functional collaboration: work closely with Product, Operations, Risk Strategy, Engineering and Data Warehouse teams to drive requirement review, development acceptance, go-live iterations and effectiveness reviews; act as the data owner for key domains.

Ownership and “dirty work” coverage: go beyond responding to requests; proactively discover issues and propose analytical directions/solutions.

Be willing to cover critical yet tedious work such as definition alignment, data quality troubleshooting, historical backfills, pipeline/root-cause debugging, and dashboard iteration/maintenance.

What you'll need 3+ years of experience in data engineering/data analytics/data BP/business analytics; experience in crypto exchanges, financial services, internet growth, or financial/fund management is a plus.

Proficient in SQL with strong data analysis and data engineering capabilities; highly data-sensitive and able to derive actionable insights from large-scale data.

Solid offline SQL development skills: able to independently develop and schedule offline warehouse jobs (layered modeling, wide/aggregate table development, incremental/full processing, performance tuning, reconciliation and data quality validations).

Flink real-time development skills: able to build real-time pipelines for metrics and detailed events using Flink; familiar with common streaming patterns (window aggregation, dimension joins, deduplication, late events handling, exactly-once/fault tolerance) and capable of troubleshooting and optimization in production.

Familiar with data development and scheduling platforms such as DataWorks: able to use the platform for task development, dependency management, release/go-live, monitoring & alerting, backfills, and permission/resource management.

Strong business abstraction and structured communication skills: able to convert business processes, rules and metric definitions into executable requirement documents (field definitions, dimensions/granularity, definition boundaries, edge cases, acceptance criteria).

Good understanding of data warehousing and data modeling concepts (layering, subject areas, fact/dimension modeling, wide vs. detailed tables, metric governance), and able to collaborate efficiently with DW/engineering teams to build reusable data assets.

Proficient with at least one BI/visualization tool and able to build dashboards independently (e.g., Tableau/DataWind/Quick BI), with alerting and drill-down analysis design capability.

Strong communication, collaboration and project execution skills, able to align stakeholders across business/product/engineering and drive delivery.

High self-motivation and patience: willing to invest in critical but “boring” operational work, including data troubleshooting, anomaly tracking, dashboard iterations and closed-loop post-mortems. 岗位职责： 熟悉并覆盖交易所全业务线的数据支持工作，包括但不限于：现货/合约/杠杆/期权、理财/借贷、资金与充提、增长投放与运营、机构/VIP、风控合规、客服与运营等；能够快速理解业务链路与关键规则，将业务问题抽象为可量化指标与分析框架。 指标体系协同与治理：指标体系的主要建设方为业务侧/中台侧，数据BP需深入理解业务目标与运营动作，协助业务梳理与建立指标（指标定义、维度、粒度、口径边界），并负责指标体系的管理与持续治理（口径统一、版本管理、血缘/使用说明、数据质量对账、变更影响评估与宣导）。 监控与归因：建设并维护核心经营/运营/风控监控看板与告警机制；日常监控关键指标，研究指标动态变化并开展周期性分析；对异常波动进行定位与归因，输出干预/调整建议，推动形成可执行的行动闭环与复盘机制。 需求归纳与跨团队交付：能够将零散业务需求进行归纳、抽象与结构化沉淀；将业务逻辑与指标口径抽象为数据模型/主题域/宽表/明细口径与字段定义，形成可研发的需求文档并提交给数据仓库研发团队落地；将看板、自助取数、指标查询、告警订阅等能力需求抽象为数据工具/数据产品需求，提交给数据产品团队并推进排期、验收与迭代。 跨团队协作：与产品、运营、风控策略、研发、数仓等团队协作，推进需求评审、开发验收、上线迭代与效果复盘；在关键方向承担数据owner职责。 owner意识与基础工作覆盖：不仅响应需求，更要主动发现问题、提出分析方向与解决方案；能够覆盖数据工作中大量琐碎但关键的环节（口径对齐、数据质量排查、历史回溯、链路定位、看板迭代维护等）。 任职要求： 3年及以上数据研发/数据分析/数据BP/商业分析经验；具备交易所、金融、互联网增长、财务资金管理等相关经验者优先。 具备较强的业务抽象与结构化表达能力：能将业务流程、规则与口径沉淀为可执行的需求文档（字段定义、维度粒度、口径说明、边界case、验收标准）。 SQL离线开发能力：能独立完成数仓离线任务开发与调度（如分层建设、宽表/汇总表开发、增量/全量处理、性能优化、数据对账与质量校验）。 Flink实时开发能力：能基于Flink完成实时指标/实时明细链路开发，理解常见实时计算场景（窗口聚合、维表关联、去重、迟到数据处理、Exactly-once/容错语义等），并能进行线上问题排查与优化。 熟悉DataWorks等数据开发与调度平台：能使用平台完成任务开发、依赖管理、发布上线、监控告警、补数回溯、权限与资源管理等。 熟练使用至少一种BI/可视化工具并能独立搭建看板（如Tableau/DataWind/Quick BI等），具备监控告警与钻取分析设计能力。 熟悉数据仓库基础与数据建模思想（分层、主题域、宽表/明细、口径管理），能与数仓研发高效协作完成数据资产沉淀。 具备较强的沟通协作与项目推进能力，能跨业务/产品/研发多方对齐口径并推动交付。 强自驱与耐心：能长期投入数据工作中枯燥但关键的建设与运营，包括数据排查、异常追踪、看板迭代与复盘闭环。 Why Bitget?

Bitget is the world's leading web 3 platform for copy trading and one of the world's largest and most respected exchanges We are a global company with staff members from over 50 different countries and regions We are growing and looking for world-class ambitious talents to help us continue this journey We have a streamlined structure that empowers employees to work efficiently, delivering the best results in a short timeframe We offer competitive salaries and benefits Blockchain technology and digital assets have the potential to change finance in a way no other technology can - be part of it!

If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!

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