Accelerator Program

4 days ago


Taiwan Hong Kong, India Binance Full time ₹ 5,00,000 - ₹ 15,00,000 per year
Job Description

Binance Accelerator Program - Product Data Analyst

Location: Asia / Taiwan, Taipei / Hong Kong
Department: Data & Research Data & Analytics
Program: Binance Accelerator Program
Type: Remote

Binance is a leading global blockchain ecosystem behind the worlds largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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.

About 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 worlds 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.

Responsibilities
  • Collect, process, and analyze large volumes of data from various sources related to the .com product ecosystem.
  • Develop and maintain dashboards, reports, and visualizations to track key product metrics and user behaviour.
  • Collaborate with product managers and cross-functional teams to identify data needs and translate business questions into analytical tasks.
  • Perform ad-hoc data analysis to support product experiments, feature launches, and performance evaluations.
  • Identify trends, patterns, and opportunities to improve user experience, engagement, and conversion rates.
  • Ensure data quality and integrity by validating data sources and analysis results.
  • Communicate findings and insights clearly to both technical and non-technical stakeholders.
  • Support the team in defining and tracking KPIs aligned with business goals.
Requirements
  • Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or similar role, preferably in a digital product or e-commerce/web3 environment.
  • Strong proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or equivalent.
  • Familiarity with statistical analysis and A/B testing methodologies.
  • Basic knowledge of programming languages such as Python or R is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills with the ability to explain complex data insights clearly.
  • Ability to work collaboratively in a fast-paced, cross-functional team environment.
Why Binance
  • Shape the future with the worlds 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. 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.


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