Since 2011, Wise has had a clear mission: money without borders. Built by and for people who live global lives, we’re the fairest, easiest way to manage your money across borders.We’re just at the beginning of our story and we’re growing at an incredible pace.

We won’t stop until anyone, anywhere can send, spend and receive money wherever they are, whatever they’re doing. There’s still heaps to do and we can’t do it alone.

We’re looking for a Payment Operations Analyst who is passionate about our mission of Money Without Borders to partner with our payment product teams to help drive data-driven and innovative growth decisions while helping to make our payment systems smoother and more efficient. 

As a Payment Operations Analyst, you'll be driving our analytics efforts in the Payment Operations product team that balances the work between making our payment rails frictionless, borderless and enabling a smooth customer payment experience. You’ll also be a part of a wider team of over 100 Analysts! You’ll get to collaborate on cross-team projects, develop technical skills and bring ideas about how we can improve analytics across Wise. 

Most importantly, you’ll collaborate closely with your product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! 

Your mission:

At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money. 

Here’s how you’ll be contributing to the Payment Operations team:

• You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance

• Proactively contribute to, own, create, track key metrics and results  for your product team, keeping them accountable throughout the quarter

• Support senior analysts by conducting research, preparing reports, and visualisations

• Work with operational leadership in coming up with new features for automating and reducing our workload, preventing our financial risks and overall making our customer experience smoother

• Building the framework for managing risk, customer and payment agent experience

• Drive the discovery phase by scoping new opportunities and suggesting initiatives on Payment Operations through meaningful insights

• The role requires collaboration with Product, Engineers and Operations Team

This role will give you the opportunity to: 

• Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money

• Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!

• Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.

• Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.​​​​​​

A bit about you: 

• You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area 

• You have extensive experience with SQL and, ideally with dbt and data pipelines. 

• You have strong communication skills and an ability to translate business problems into analytical solutions

• You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models

• Hustler-mentality. You can take work beyond the analysis and get things done

• You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

• You have 3-4 YOE analysing data in a professional setting

Some extra skills that are great (but not essential): 

• Experience with user-facing products and data

• Experience in data pipelines, ETL and dbt

• Knowledge of A/B testing

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.

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