Business Intelligence, Data Analyst

• Work across all aspects of data, from engineering to building sophisticated visualisations, machine learning models and experiments
• Analyse 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
• Operate in a fast-paced industry and organisation where time to market is critical

• 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
• Ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
• Ability to identify, investigate and explain trends and patterns in data
• Ability to analyse and break down complex concepts and technical findings into clear and simple language
• Competency in two or more of: analytical software such as R or SAS; data visualisation tools such as Qlikview, Tableau or PowerBI; relational or graph database management tools such as SQL, NoSQL or Neo4J; programming languages such as VBA, C++, Java or Python
• Prior internal/client-facing consulting/business transformation experience preferred
• Passion for emerging technologies related to Blockchain, Machine Learning and AI

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
• Opportunities for career growth and continuous learning
• Collaboration with world-class talent
• Autonomy in an innovative environment