Platform Pricing Analytics

Wise Platform brings the reach and low cost of Wise to business partners - read more about Wise Platform here.

The Wise Platform Pricing Analytics team manages the pricing model and P&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company., * 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

• 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 BUT NOT ESSENTIAL

• 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

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