Binance Accelerator Program - Analytics Engineer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

About Binance Accelerator Program

Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.

Who may apply

Current university students and recent graduates.

*Terms of employment / engagement shall be subject to contract and local applicable laws

About the Role

We are looking for a curious and motivated Analytics Engineer who combines strong analytical thinking with software engineering fundamentals. In this role, you will work closely with Product, Business, and Engineering teams to transform data into actionable insights while contributing to the development of internal analytics tools and data platforms. This is an excellent opportunity for students who enjoy solving business problems with data and are interested in building scalable analytics solutions through programming and cross-functional collaboration.

Responsibilities

Collect, clean, analyze, and interpret data to support business decision-making and product optimization.

Develop Python scripts and SQL queries to automate data processing, reporting, and analytics workflows.

Contribute to the development and enhancement of internal analytics platforms and business applications by leveraging your understanding of front-end and back-end systems.

Assist in deploying and maintaining cloud-based data services and analytics applications.

Collaborate with Product, Engineering, and Business teams to deliver analytics projects on schedule and coordinate project milestones across stakeholders.

Document analytical methodologies, technical solutions, and project outcomes to promote knowledge sharing and continuous improvement.

Requirements

Education

Currently pursuing a Bachelor’s or Master’s degree.

Major in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Statistics, Information Systems, or a related discipline.

Technical Skills (Candidates should possess most of the following qualifications:)

Proficiency in Python with experience in data processing and automation.

Strong knowledge of SQL and relational databases.

Hands-on experience in front-end and back-end application development through coursework, personal projects, research, or internships.

Exposure to at least one major cloud platform, such as AWS, Microsoft Azure, Google Cloud Platform (GCP), Alibaba Cloud, or Tencent Cloud.

Familiarity with Git and collaborative software development workflows.

Soft Skills

Strong analytical thinking and attention to detail.

Experience coordinating projects or collaborating across teams through student organizations, research projects, internships, or extracurricular activities.

Excellent communication and interpersonal skills.

Self-motivated, proactive, and eager to learn new technologies and business domains.

Preferred Qualifications (Experience in one or more of the following areas is a plus)

Data analysis libraries and BI tools such as Pandas, NumPy, Matplotlib, Power BI, or Tableau.

Web development frameworks including Flask, FastAPI, Django, React, or Vue.js.

Machine Learning, AI applications, or Large Language Model (LLM) projects.

Docker, CI/CD pipelines, or cloud-native development.

An active GitHub profile, open-source contributions, or a technical portfolio.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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