Business Intelligence/ Data Analyst

Role Overview

Work as a data analyst in a fast-paced industry and organization where time to market is critical. Analyze and interpret large volumes of transactional, operational, and customer data using proprietary and open-source data tools, platforms, and analytical toolkits.

What You Will Do

Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments. Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives.

Why It Might Be a Fit

Shape the future with the world’s leading blockchain ecosystem, collaborate with world-class talent, and thrive in a results-driven workplace with opportunities for career growth and continuous learning.

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 analyze 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)

Benefits

  • Competitive salary
  • Company benefits
  • Work-from-home arrangement
  • Opportunities for career growth and continuous learning

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To apply for this job please visit jobs.lever.co.


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