Data BP 数据BP （出海香港）

Description

About us Bitget is the world's largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 100+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution. Bitget is driving crypto adoption through strategic partnerships with LALIGA and MotoGP™. Aligned with its global impact strategy, Bitget has joined hands with UNICEF to support blockchain education for 1.1 million people by 2027. Bitget currently leads in the tokenized TradFi market, providing the industry's lowest fees and highest liquidity across 150 regions worldwide. 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 (de

Responsibilities

• 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.

Requirements

• 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).
• 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.