Binance Accelerator Program - Data Analyst

Binance
Hong Kong +1 more
RemoteCareer-pivot friendly

Who this role is best for

A natural match if you have experience in content-driven community analytics and are comfortable with a remote-first work arrangement.

Best fit for

  • Candidates with advanced quantitative degrees and a track record in content analytics or community operations
    — “Currently enrolled in a master’s degree program or above. Candidates majoring in Statistics, Mathematics, Computer Science, Economics, or a related field are preferred.”
  • Individuals who thrive in remote-first environments and can commit to a long-term project timeline
    — “Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)”
  • People with a strong analytical mindset and ability to identify business insights from user data
    — “Ability to derive clear, evidence-based insights from data.”

Things to consider

  • Requires a minimum of six consecutive months of availability with at least four days per week commitment
    — “Availability to work at least four days per week for a minimum of six consecutive months.”

How to stand out

  • Highlight your ability to translate data into actionable business insights for content operations
    — “Use user segmentation, funnel analysis, and retention analysis to identify opportunities to improve the user experience and conversion rates.”
  • Demonstrate experience with SQL and Excel through specific examples of data preparation and analysis projects
    — “Proficiency in SQL, including common queries involving multi-table joins, grouping, and aggregation. Strong Excel skills for data preparation and analysis.”
  • Showcase your familiarity with event-tracking validation and data quality assurance processes
    — “Participate in event-tracking validation, metric definition and documentation, and data quality checks.”
  • Emphasize your background in analyzing user behavior and content ecosystems in your resume and interview responses
    — “Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems.”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

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

What success looks like

  • ability to analyze user behavior
  • ability to evaluate content performance
  • ability to derive insights from data
Typical background
degree in statistics, mathematics, computer science, economicsbackground in data analysis

Skills & requirements

Required

SQLExcelStatisticsData AnalysisUser Behavior Analysis

Preferred

PythonRBI ToolsContent Creation

Stack & domain

SQLExcelStatisticsFunnel AnalysisRetention AnalysisPythonRBI ToolsData AnalysisData VisualizationContent CreationCommunity OperationsCampus Media ManagementCommunicationProblem-solvingAttention To DetailLearningExecutionContent OperationsCreator EcosystemsCommunity Campaigns

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.

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)

Responsibilities:

  • Daily Data Monitoring: Assist in maintaining business reports and dashboards; track metrics such as user activity, content publishing, views, engagement, and retention; identify anomalies and participate in root-cause analysis.
  • User Behavior Analysis: Analyze user journeys from browsing, liking, commenting, and following to content creation. Use user segmentation, funnel analysis, and retention analysis to identify opportunities to improve the user experience and conversion rates.
  • Content Ecosystem Analysis: Evaluate the performance of different content formats, topics, and creators, providing data-driven support for content operations, creator incentive programs, and community campaigns.
  • Strategy and Impact Evaluation: Support data preparation and performance analysis for product features, operational campaigns, and A/B tests. Help summarize findings and recommend improvements.
  • Data Support and Quality Assurance: Extract and analyze data based on the needs of product and operations teams. Participate in event-tracking validation, metric definition and documentation, and data quality checks.

Qualifications:

  • Currently enrolled in a master’s degree program or above. Candidates majoring in Statistics, Mathematics, Computer Science, Economics, or a related field are preferred.
  • Proficiency in SQL, including common queries involving multi-table joins, grouping, and aggregation. Strong Excel skills for data preparation and analysis.
  • Foundational knowledge of statistics and familiarity with common analytical methods such as funnel and retention analysis. Ability to derive clear, evidence-based insights from data.
  • Strong interest in content-driven community products, user behavior, content distribution, and creator ecosystems, with a willingness to proactively investigate the business factors behind changes in data.
  • Detail-oriented and committed to data accuracy, with strong communication, learning, and execution skills.

Preferred Qualifications:

  • Experience using Python, R, or BI tools for data analysis and visualization.
  • Previous data analytics internship, coursework, project, or competition experience, with the ability to clearly explain your analytical approach and individual contributions.
  • Experience in content creation, community operations, or campus media management.
  • Availability to work at least four days per week for a minimum of six consecutive months.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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