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Data Analyst Intern

Bybit • 🌐 In Person

In Person Posted 3 days, 22 hours ago

Job Description

About Bybit,

Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.

Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.

As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.

Job Responsibility:

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 adhoc 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 document and standardize BI logic for ongoing compliance requests

Requirement:

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)

Comfortable with Python, and familiar with common data processing libraries such as pandas and numpy

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

Experience with data visualization tools such as Tableau, Datawind, Power BI

Strong Interest in Crypto industry.

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