Binance Accelerator Program - Analytics Engineer

Binance; Singapore; Hybrid; SGD 48,000 - 72,000; Full time

Benefits offered by this job

Competitive salary

Work-from-home arrangement

Career growth opportunities

Job summary

Binance in Singapore is seeking an Analytics Engineer as part of its Accelerator Program. This role will involve transforming data into actionable insights and building internal analytics tools.

The ideal candidate will be pursuing a Bachelor's or Master's degree in a related field and possess strong Python and SQL skills. Opportunities for networking and skill development are available while working closely with cross-functional teams in a dynamic environment.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a relevant field.
• Proficiency in Python and SQL for data processing.
• Strong analytical thinking with attention to detail.

Responsibilities

• Collect and analyze data to support business decision-making.
• Develop Python scripts to automate data workflows.
• Collaborate with cross-functional teams on analytics projects.

Skills

Python

SQL

Data Processing

Analytics Tools

Education

Bachelor’s or Master’s degree in Computer Science or related discipline

Tools

AWS

Git

Data Analysis Libraries

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Binance Accelerator Program

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world’s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE

Who May Apply

Current university students and recent graduates

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.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.