Wise 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, Wise 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.

We are looking for a Senior Analytics Manager who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would improve our payment systems, making them smoother and more efficient.

The Payment Operations organisation is responsible for ensuring that our customers’ payments flow smoothly. The organisation focuses on resolving issues surrounding the movement of funds, to deliver a fast and convenient payment experience for our customers.

You will lead our analytics efforts in the Payment Operations organisation to identify and analyse payment issues in the various regions we operate in, forecast operational capacity, build insights to improve the payment processing performance of our banking partners, and define the data strategy around evaluating the quality of our payment processes.

This is a great opportunity for an analyst that has strong product thinking and a passion to learn more about complex payment systems. In addition, you will have a chance to lead an international team across countries. Last but not least, you will be part of a wider team of 250+ analysts that you can collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise. 

This is an AL2 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

• Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers. Join us in working towards our mission.

• Expose the vast amounts of data available in a meaningful and actionable way and support other teams in discovering the right insights.

• Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable and enthusiastic throughout the quarter.

• Support senior and lead analysts by guiding the team towards building scalable pipelines, preparing accurate reports and visualisations, and creating valuable insights from data.

• Build the data framework for managing quality assurance, evaluating and improving forecast accuracy and achieving operational excellence.

• Work with operational leadership to build new features to automate and reduce workload, prevent financial risks, and create a smoother experience for our customers.

WHAT YOU’LL BRING

• 5+ years of experience in data analytics

• 2+ years of experience in building teams, coaching and leading analysts

• You have extensive experience with SQL, and data pipeline creation. You are comfortable working with complex data models and are able to independently design and guide a team to implement new models.

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

• You have strong communication skills and an ability to translate business insights into analytical solutions that are simple to understand and drive customer impact.

• You have an ability to structure business problems with minimal supervision and an ability to prioritise problems collaboratively with multiple teams.

• Be proactive. You can take work beyond the analysis and get things done. You take ownership of your own impact on our customers.

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

NICE TO HAVE BUT NOT ESSENTIAL

• Experience with payments (cross-border, domestic, cards, etc)

• Experience with quality assurance / control analytics

• Experience with operational demand forecasting

• Experience with user-facing products and data

• dbt (or other Data Pipeline building tools)

• Python

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.