Data Analyst

We are looking for a talented Data Analyst to join our fast-growing team. The successful candidate will join the data science team working on business intelligence and customer analytics, driving deep understanding and improvements across our products and business processes. The role will primarily involve analysing and visualising data across multiple sources to identify interesting patterns and trends to support decision making.

About you:

You love data and enjoy using them to solve real-world problems. You are naturally curious and eager to learn. You have an analytical mind, proactively identify issues, and enjoy tackling them and coming up with solutions. You are a team player who enjoys collaborating with others, but is also capable of working independently. You don’t shy away from interacting with people from different backgrounds and are able to communicate data science ideas effectively.

What you will do:

• Apply your expertise in data mining, and data visualization to extract insights that can inform our business and product decisions.
• Understand the day-to-day issues that our business faces, which can be better understood with data
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Work together with the product and/or market teams to identify the key metrics to measure the different aspects of the business. Create and maintain dashboards to visualize those metrics and track KPIs

What you will need:

• Bachelor’s/Master’s degree in STEM (Mathematics, Computer Science, Physics, Engineering, Economics) or related experience
• Understanding of fundamentals of probability and statistics
• Experience in SQL and relational databases
• Attention to detail
• Commercial mind and ability to put numbers into business perspective
• Strong communication skills, experience working in cross-functional teams and communicating technical results to stakeholders

Nice to have:

• Experience with Crypto
• 1-2 years commercial experience in related role

• Experience programming in Python and knowledge of the PyData stack (e.g. Pandas, Numpy, Scipy, MatPlotLib, Scikit-learn) for data science
• Experience with finance, trading, product development and/or customer care.

Compensation and perks:

• Amazing and accessible office locations in the heart of London
• Unlimited vacation policy; work hard and take time when you need it.
• Apple equipment.
• Catered team lunch every Monday, Wednesday, and Friday.
• Full-time salary based on experience and meaningful equity in an industry-leading company
• Benefits: Private Medical Insurance (BUPA), Dental, Pension, Life, Short Term & Long Term Disability.
• Flexible hours and smart working options