Data Analyst - Bybit

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Job Responsibilities:

• Assist with SQL code development and cleanup across product lines and BUs
• Support data validation and QA in data and dashboard pipelines
• Write high-quality SQL and Python scripts to clean, transform, and model data
• Provide ad-hoc data extracts and reports for business analysis, reporting, and product decision-making
• Collaborate closely with Big Data, Data Engineers, and product managers to implement data-driven initiatives
• Support documentation and standardization of BI logic for ongoing compliance requests
• Assist in building dashboard and data table knowledge bases for AI bot consumption

Requirements:

• Currently pursuing a degree in Computer Science, Data Science, Software Engineering, Statistics, or a related field
• Proficient in SQL, with the ability to write complex queries (e.g., window functions, subqueries, aggregations)
• Proficient in Python and familiar with Python development environments (pyenv, conda, numpy, pandas, etc.) and common data analysis libraries
• Familiar with Linux
• Familiarity with big data stack (Spark, Hadoop, Hive) and large-scale data processing
• Proficient in AI coding tools (e.g., Claude Code, Cursor, Copilot) — must demonstrate real programming ability, not just vibe coding
• Strong logical thinking and analytical skills, with the ability to understand and abstract complex business logic into data workflows
• Self-motivated, responsible, and eager to learn new technologies
• Good communication and collaboration skills
• Strong interest in the crypto industry

Nice-to-have:

• Active GitHub with