Senior Data Analyst

Mangopay is a wallet-based payment infrastructure built specifically for organisations with complex, multi-party fund flows. A pioneer in multi-party payments.

Our solution optimises fund flows on behalf of the organisations we work with using wallets as programmable, composable building blocks.

Mangopay’s regulated platform collects payments, secures transactions and holds funds, splits money between the various parties in the funds flow, and ultimately manages the payout to service providers, sellers, and consumers.

Platforms and fintechs using Mangopay regain control and transparency over multi-party payment flows, generate additional revenue, and improve operational efficiency. They can stay compliant while innovating and scaling.

Our team of 300+ people is spread across offices in Madrid, Paris, Warsaw, Berlin, Luxembourg and London. We're looking for talented individuals to join us in tackling the exciting challenges ahead. 

At Mangopay, you’ll be part of a supportive, diverse team committed to building scalable solutions and driving change in the fintech space!

Job Description 

What you'll be doing:

• Defining data models in Looker and Snowflake to measure key business and product performance metrics.
• Delivering insights through clear and impactful dashboards and reports.
• Building complex business and statistical models of our products and services.
• Working with Product, Finance and Business teams on identifying operational and product improvements.

What we would love you to bring with you:

• Strong bias for action and customer obsession.
• Expertise in data modelling, transformation and visualisation in Looker and Snowflake, and data wrangling in Snowpark (or similar).
• You need to be a SQL wizard.
• 5-7 years of relevant experience as a Data Analyst or in a similar role in the fintech industry is a must.
• A degree in Data Science, Business Analytics, Statistics, Mathematics or a related field is preferred.
• Fluent command of English is required.
• Data engineering skills and experience with AI in data analytics  are a plus.

Additional information

Interview process:

• HR Call
• Hiring Manager Interview
• Case Study
• C Level Interview

We care about equal employment opportunities, so all qualified applicants will receive equal consideration regardless of their race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.