About the company
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
Responsibilities
- Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance.
- Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable throughout the quarter.
- Support your team by conducting research, building and maintaining data pipelines, preparing reports, and creating visualisations.
- Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
- Collaborate with various stakeholders in the organisation and effectively communicate your insights into real change for our customers.
Requirements
- You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
- You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
- You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
- You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models.
- Hustler-mentality. You can take work beyond the analysis and get things done.
- You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.
- You have a minimum 3 years of experience analysing data in a professional setting.
Conditions
- Salary: £60,000 - £85,000