Wise

Lead Data Analyst - Wise Platform Pricing

London, United Kingdom · Hybrid · Full-time

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About the role

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  • EmployerWise
  • LocationLondon, EC2A 4JE, United Kingdom
  • Work styleHybrid
  • Employment typeFull-time
  • Employer posted

We are looking for a Lead Data Analyst to join the Wise Platform Pricing Analytics team at Wise.

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.

This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

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

Show full description

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

WHAT YOU’LL BRING

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

Some of our benefits:

💰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

Find out more about our benefits in our London office.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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Data analyst jobs in London

ROLIVA currently lists 26 open roles like this in London.

Employers hiring for this

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At a glance

  • Work styleHybrid
  • Employment typeFull-time
  • SeniorityMid level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python dbt Stakeholder management

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