Lead Data Analyst - Pricing
SKILLS
FULL DESCRIPTION
Lead Data Analyst - Pricing
Salary: £75,000 - £100,000 per year
Location: London
Company Description
[Employer hidden — sign up to reveal] 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, [Employer hidden — sign up to reveal] 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.
More about our mission and what we offer.
Job Description
We are looking for a Lead Data Analyst to join the [Employer hidden — sign up to reveal] Platform Pricing Analytics team at [Employer hidden — sign up to reveal].
[Employer hidden — sign up to reveal] Platform brings the reach and low cost of [Employer hidden — sign up to reveal] to business partners - read more about [Employer hidden — sign up to reveal] Platform here.
The [Employer hidden — sign up to reveal] Platform Pricing Analytics team manages the pricing model and P&L analysis for [Employer hidden — sign up to reveal] Platform. The team supports [Employer hidden — sign up to reveal] 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 [Employer hidden — sign up to reveal] 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 [Employer hidden — sign up to reveal] 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
Additional Information
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 [Employer hidden — sign up to reveal] visit [Employer hidden].Jobs.
Keep up to date with life at [Employer hidden — sign up to reveal] by following us on LinkedIn and Instagram.