Binance

3 months ago

Research Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join the Binance Accelerator Program as a Research Data Analyst to analyze PB-scale transactional and operational data, build advanced visualizations and ML experiments, and translate insights into actionable recommendations for executives and operational teams within a fast-paced Web3 ecosystem.

Location: Taipei

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Work across all aspects of data from engineering to building sophisticated visualizations and ML experiments
•Analyze and interpret large volumes of transactional, operational and customer data using proprietary and open source tools
•Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives
•Handle confidential data in accordance with guidelines
•Design and manage the reporting environment, including data sources, security and metadata

Pay and Benefits

Perks:Remote Work

Key Requirements

•Bachelor’s degree in Computer Science, Mathematics or Statistics from a recognized university
•Proficient in data engineering, modeling and ETL; experience with data sourcing and APIs preferred
•Experience querying data with SQL, GraphQL or Python
•Able to commit a minimum of 3 days per week for at least 6 months
•Understanding of DeFi and Web3 infrastructure; knowledge of tokenomics is a plus

Experience:Web3DeFiBlockchainCryptocurrency

Education:Bachelor's

Skills:Data visualizationCommunicationSQLGraphQLPythonETLData engineering

Tech Stack:SQLGraphQLPythonETLDune analyticsNansen

Company Brief

Binance

Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn

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Binance

3 months ago

Research Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Taipei

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Work across all aspects of data from engineering to building sophisticated visualizations and ML experiments
•Analyze and interpret large volumes of transactional, operational and customer data using proprietary and open source tools
•Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives
•Handle confidential data in accordance with guidelines
•Design and manage the reporting environment, including data sources, security and metadata

Pay and Benefits

Perks:Remote Work

Key Requirements

•Bachelor’s degree in Computer Science, Mathematics or Statistics from a recognized university
•Proficient in data engineering, modeling and ETL; experience with data sourcing and APIs preferred
•Experience querying data with SQL, GraphQL or Python
•Able to commit a minimum of 3 days per week for at least 6 months
•Understanding of DeFi and Web3 infrastructure; knowledge of tokenomics is a plus

Experience:Web3DeFiBlockchainCryptocurrency

Education:Bachelor's

Skills:Data visualizationCommunicationSQLGraphQLPythonETLData engineering

Tech Stack:SQLGraphQLPythonETLDune analyticsNansen

Company Brief

Binance

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Unicorn (USD 1B+)

Funding: Bootstrapped

Headquarters: George Town, Cayman Islands

Founded: 2017

Website LinkedIn