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.
• 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.

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

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