Lead Data Analyst

This role offers an opportunity to have a direct and measurable impact on Wise’s mission - money without borders. Built by and for people who live global lives. This analyst will be responsible for supporting the Treasury functions that onboard and maintain relationships with our banking partners as well as the Corporate Treasury Operations team, responsible for moving and investing our corporate cash., * Help corporate treasury teams make more effective operational and investment decisions through deep-dive analyses and performance measurement

• Automate relevant operational processes to free up time for strategic initiatives (includes supporting the design of engineering solutions when needed)
• Build and maintain dbt data models to surface key metrics to the teams
• Build and maintain Lightdash dashboards to support decision making and operational processes
• Build relationships with teams across the company, from finance and engineering to our customer support, operations, design and more, to gain the knowledge needed for accurate analysis and implementation of analytics solutions
• Mentor other team members on best practices in data analysis, ensuring accuracy, consistency, and reproducibility of work while improving the pace of execution

• Extensive experience in data analytics
• Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights
• Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics
• Stakeholder management skills; you know how to influence teams to deliver high-impact change, across analytics, engineering, and business specialists
• Ability to translate business requests into clear analytical problems
• Ability to convey complex information, tailored to the audience’s level of understanding
• Ability to deliver high quality work autonomously

Nice to have

• Experience working in Fintech or Financial Services
• Experience automating (or supporting) operational processes
• Experience using Lightdash or Superset
• Knowledge of advanced analytics techniques, including the use of Python and statistical modelling
• Experience managing 1-2 analysts or coaching more junior team members

Base salary of £75,000 - £115,000

RSU’s in a growing and public company

Private Medical Insurance + Life Insurance

️ Discounted gym memberships and cycle to work scheme

️ A paid 6-week sabbatical leave after four years

26 weeks maternity leave at full pay

An annual self-development budget

Pet friendly offices

️ Lots of fun group activities like yoga, running and boardgame nights