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Binance

Business Intelligence/ Data Analyst (MENA Region)

Binance
United Arab Emirates · Full-time · Mid-Senior
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, 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.

Responsibilities

  • 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 visualisations and recommendations for execution by operational teams and executives
  • Analyse data independently to deliver insights about operational performance and proactively drive improvements
  • Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources
  • Act as a strategic data business partner to your stakeholders
  • Support ad-hoc analysis requests from business and operational teams
  • Be part of a fast-paced industry and organisation where time to market is critical

Requirements

  • Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
  • 4-6 years of full-time work experience in an Analytics or Business Intelligence role
  • A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
  • A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
  • Prior internal/client-facing consulting/business transformation experience preferred.
  • A passion for Emerging Technologies related to Blockchain, Machine Learning and AI

Competency in two or more of the following:

  • An analytical software (e.g. R, SAS)
  • A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
  • A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
  • Programming (e.g. VBA, C++, Java, Python)

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)

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.

Key Skills

Ranked by relevance

blockchain sql artificial intelligence machine learning cryptocurrency ai tools tableau nosql java vba ai c
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Country Guide

United Arab Emirates

Tax-friendly regional tech hub

Posted
Feb 14, 2026
Type
Full-time
Level
Mid-Senior
Location
Dubai
Company
Binance

Industries

Technology Information Internet

Categories

Analyst

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