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Data Analyst Team Lead

Role overview

Qualifications

  • Degree in a quantitative discipline (Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences)
  • Minimum 8 years of industry experience applying advanced analytics
  • Demonstrated experience in the application of analytical techniques to guide operational improvements
  • Strong communication, presentation, project management and time management skills

Responsibilities

  • Overseeing high performing, multidisciplinary members of the Data Analytics team
  • Design and build complex visualisations and analytical models
  • Work closely with operational and functional areas to identify, prioritise and deliver analytical use cases
  • Analyze and interpret large volumes of transactional, operational and customer data

Key facts

Hard skills

Other skills

  • Communication
  • Presentations
  • Time Management
  • Problem Solving

About the company

Binance logo

Binance

Fintech: Finance + Technology

Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com

Company details

Company typeLarge
IndustryFintech: Finance + Technology
Company size1001 - 5000

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Job description


Responsibilities - Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
- Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution 
- 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
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements - Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences
- Minimum 8 years of industry experience applying advanced analytics
- Demonstrated experience in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions; and of supervising the work of others, preferably analytics or engineering roles
- A desire and ability to think abstractly, solve problems and deal with ambiguity
- Enthusiasm and drive to be a leader in our team, helping shape and develop its future
- Strong communication, presentation, project management and time management skills
- Advanced competency in two or more of the following: 
-- Analytical software (e.g. R, SAS);
-- Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,);
-- A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);
   Programming. (e.g. VBA, C++, Java, Python);

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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