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Data Analyst (International Markets)

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Location
AE, AF + 49 more
Binance

Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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

  • Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
  • 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
  • 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
  • 3-5 years of full-time work experience in an Analytics or Data Science 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
  • 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.

Advice from our career coach

A successful applicant for this Data Analyst role at Binance should have a strong foundation in quantitative disciplines like Mathematics, Statistics, or Computer Science, along with experience in analytics or data science. To stand out as a candidate, showcase a passion for emerging technologies like Blockchain, Machine Learning, and AI, and demonstrate proficiency in analytical software, data visualization tools, database management, and programming languages. Here are some specific tips to help you shine:

  • Highlight your degree in a quantitative discipline and any relevant certifications or courses in analytics
  • Showcase your experience in analyzing and interpreting large volumes of data using a variety of tools and platforms
  • Emphasize your ability to communicate complex findings in a clear and simple manner for different stakeholders
  • Demonstrate your curiosity and problem-solving skills by discussing past projects where you identified trends and patterns in data
  • Discuss your experience with specific tools mentioned in the requirements such as R, SAS, Tableau, SQL, and Python

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About the job

Nov 10, 2024

Full-time

  1. AE United Arab Emirates
  2. AF Afghanistan
  3. AM Armenia
  4. AZ Azerbaijan
  5. BD Bangladesh
  6. BH Bahrain
  7. BN Brunei
  8. BT Bhutan
  9. BU Remote
  10. CN China
  11. CY Cyprus
  12. GE Georgia
  13. HK Hong Kong SAR China
  14. ID Indonesia
  15. IL Israel
  16. IN India
  17. IQ Iraq
  18. IR Iran
  19. JO Jordan
  20. JP Japan
  21. KG Kyrgyzstan
  22. KH Cambodia
  23. KR South Korea
  24. KW Kuwait
  25. KZ Kazakhstan
  26. LA Laos
  27. LB Lebanon
  28. LK Sri Lanka
  29. MN Mongolia
  30. MO Macao SAR China
  31. MV Maldives
  32. MY Malaysia
  33. NP Nepal
  34. OM Oman
  35. PH Philippines
  36. PK Pakistan
  37. PS Palestinian Territories
  38. QA Qatar
  39. RU Russia
  40. SA Saudi Arabia
  41. SG Singapore
  42. SY Syria
  43. TH Thailand
  44. TJ Tajikistan
  45. TL Timor-Leste
  46. TM Turkmenistan
  47. TR Türkiye
  48. TW Taiwan
  49. UZ Uzbekistan
  50. VN Vietnam
  51. YE Yemen
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