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Home/Jobs/Business Intelligence/ Data Analyst (MENA Region)
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Binance

Business Intelligence/ Data Analyst (MENA Region)

šŸ‡¦šŸ‡Ŗ Dubai, UAEšŸ  Remote
SQLBusiness IntelligenceData AnalysisData VisualizationRSASQlikviewTableau
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Binance
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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

• At least 8 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.

Requirements

  • •Degree in a quantitative discipline
  • •At least 8 years of work experience in Analytics or BI
  • •Ability to quickly learn new tools and techniques
  • •Passion for Emerging Technologies (Blockchain, ML, AI)
  • •Competency in an analytical software (R, SAS)
  • •Competency in a data visualization tool (Qlikview, Tableau, PowerBI)
  • •Competency in a relational/graph database management tool (SQL, NoSQL, Neo4J)
  • •Competency in programming (VBA, C++, Java, Python)

Nice to Have

  • •Prior internal/client-facing consulting/business transformation experience preferred

Responsibilities

  • •Analyze and interpret large volumes of data using various tools
  • •Translate complex findings into simple visualisations and recommendations
  • •Analyze data independently to deliver insights
  • •Write and optimize SQL queries
  • •Act as a strategic data business partner
  • •Support ad-hoc analysis requests

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