Binance Accelerator Program - Research On Chain Data Analyst

Binance
Hong Kong +1 more
RemoteCareer-pivot friendly

Who this role is best for

Aimed at mid-to-senior-level data analysts with blockchain expertise who can work in a remote-first setup and handle large-scale data analysis. The role emphasizes technical depth in data engineering and a strong grasp of DeFi and Web 3.0.

Best fit for

  • Candidates with a strong background in data engineering and blockchain analytics
    — “Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs”
  • Candidates comfortable with remote-first arrangements and managing large-scale data systems
    — “Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)”

Things to consider

  • Minimum 3 days per week commitment for at least 6 months is required
    — “Able to commit minimum 3 days per week for at least 6 months”

How to stand out

  • Highlight experience with PB-scale data processing and visualization tools in your resume
    — “Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data”
  • Demonstrate your ability to translate complex data findings into actionable insights
    — “Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives”
  • Showcase projects involving DeFi, tokenomics, or blockchain infrastructure in your portfolio
    — “Understands project tokenomics and has good knowledge of the DeFi and Web 3.0 infrastructure landscape”
  • Emphasize your experience using Dune Analytics or Nansen for on-chain data analysis
    — “Experience in using tools such as Dune analytics, Nansen etc”
  • Include examples of managing data sources, security, and metadata in your application materials
    — “Managing and designing the reporting environment, including data sources, security, and metadata”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • analyzing large volumes of transactional, operational and customer data
  • building sophisticated visualizations
  • managing and designing the reporting environment
Typical background
Bachelor’s degree in Computer Science, Math, or StatisticsExperience with data engineering, modeling, and ETL

Skills & requirements

Required

Data EngineeringETLData QueryingData VisualizationMachine Learning Models

Preferred

Blockchain KnowledgeDefi Understanding

Stack & domain

SQLGraphQLPython

About the role

Original posting from Binance via Greenhouse

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, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Responsibilities

Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments

Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits

Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives

Processing confidential data and information according to guidelines

Managing and designing the reporting environment, including data sources, security, and metadata

Troubleshooting the reporting database environment and reports

Requirements

Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics

Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs

Experience with data querying using languages such as SQL, GraphQL, Python 

Able to commit minimum 3 days per week for at least 6 months

Understands project tokenomics and has good knowledge of the DeFi and Web 3.0 infrastructure landscape

Experience in using tools such as Dune analytics, Nansen etc

Understanding of addressing and metadata standards

High-level written and verbal communication skills

Why Binance

Shape the future of finance 

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

Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

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

Competitive salary and company benefits

Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read 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.

Source: Binance careers (Greenhouse)

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