Responsibilities 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 Ensure data accuracy, consistency, and reliability in reporting 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 or Engineering 1-3 years of full-time work experience in an Analytics or Data Science role Solid working knowledge of  SQL  (joins, aggregations, subqueries) Experience with at least one  data visualization tool  (Tableau, Power BI, Looker, etc.) 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   Nice to have Experience with Python or R for data analysis Exposure to financial markets or trading data, including spot and/or derivatives trading data (e.g. volumes, depth, positions, order/trade data) Basic knowledge of cryptocurrency markets and products, such as spot trading, derivatives, and on-chain or exchange-level metrics