Talantix.io
Binance•15.02.26
AI SCORE 8.5

Data Analyst - Risk Operations for Web3 Ecosystem

$90K–$120K/year
RemoteWeb3
Python•SQL•Tableau•Power BI•Data Visualization•Data Analysis•Machine Learning•Big Data

About the Role

We are seeking a talented Data Analyst - Risk Operations to join our dynamic team at Binance, the world’s leading blockchain ecosystem. As a Data Analyst, you will play a crucial role in analyzing user behavior data and building accurate user profiles to enhance our risk control mechanisms. This is an exciting opportunity to work remotely and contribute to the future of finance.

What You'll Do

  • Manage and maintain comprehensive user tagging systems to support personalized services and risk control.
  • Analyze user behavior data to build accurate and dynamic user profiles.
  • Perform data mining and feature engineering to extract meaningful insights from large-scale user data.
  • Collaborate with cross-functional teams including Product, Risk, Marketing, and Technology to optimize user segmentation and targeting strategies.
  • Monitor and evaluate the effectiveness of user tags and profiles, continuously improving data quality and relevance.
  • Support the implementation of data-driven decision-making processes across the organization.

Requirements

  • Minimum 3–5 years of experience in data analysis, user profiling, or related fields.
  • Strong background in data analytics, user behavior analysis, and customer segmentation.
  • Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Solid understanding of user tagging methodologies and user journey mapping.
  • Detail-oriented with a strong sense of data accuracy and integrity.
  • Excellent analytical thinking and problem-solving skills.
  • Strong communication skills in English, both written and verbal.
  • Ability to work collaboratively in a fast-paced, international team environment.
  • Experience with big data platforms and tools is a plus.
  • Knowledge of machine learning techniques and experience applying them to user data is advantageous.
  • Experience with AI technologies and applications is a plus.

What We Offer

  • 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).
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Data Analyst role at Binance offers the chance to work remotely in a leading blockchain ecosystem, with competitive salary and growth opportunities.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and SQL for data manipulation and analysis, with experience in libraries such as Pandas and NumPy to handle large datasets effectively.

→

Strong understanding of data visualization tools like Tableau and Power BI, capable of creating insightful dashboards that communicate complex data trends clearly to stakeholders in a remote work environment.

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Demonstrated experience in machine learning techniques and big data technologies, with a mindset geared towards continuous learning and adapting to the fast-evolving Web3 landscape.

Learning Resources

→Python for Data Analysiscourse
→SQL for Data Sciencecourse
→Data Visualization with Tableaucourse

Career Path

Data Analyst - Risk Operations for Web3 Ecosystem(Now)→Senior Data Analyst - Risk Management(1-2 years)→Lead Data Scientist - Risk Analytics(3-5 years)

Market Overview

Market Size 2024
$5.2B
Annual Growth
12.5%
AI Adoption
45%
Investment in Data Analytics
+30%
Labour Demand for Data Analysts
+25%
Avg Salary for Data Analysts
$85K

Skills & Requirements

Required
PythonSQLTableau
Growing in Demand
Cloud Computing (AWS, Azure)Data EngineeringAdvanced Machine Learning Techniques
Declining
Excel for Data AnalysisTraditional Business Intelligence (e.g., SAP BusinessObjects)

Domain Trends

Rise of Data Democratization
By 2025, 70% of organizations will leverage self-service analytics tools, making data accessible to non-technical users.
Integration of AI in Data Analysis
80% of data analysts will utilize AI tools for predictive analytics by 2025, enhancing decision-making processes.
Focus on Real-time Data Processing
The demand for real-time data analytics solutions is expected to grow by 40% as businesses seek to make timely decisions.

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