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
- Proactively identify and propose the most relevant and strategic pricing and cost problems to solve for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes
- Lead deep-dive investigations into complex cost data, driving improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain
- Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers
- Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability
- Contribute to and influence improvements to the pricing model by applying detailed knowledge of costs and cost drivers to appropriate pricing strategies
Requirements
- 5+ years of experience in data analytics
- Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change including analytics, engineering, and business specialists
- 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
- Nice to have: experience working on Pricing, especially B2B Pricing; experience working in Fintech or Financial Services; experience using Lightdash or Superset; knowledge of advanced analytics techniques, including the use of Python and statistical modelling
Conditions
- 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