Data Analyst- Cloud Platform

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.

The Platform Engineering Tribe:

We are the backbone of Wise's technical infrastructure, ensuring everything runs smoothly for our customers and engineering teams. Our Reliability squad combines expertise in systems availability and uptime, monitoring performance metrics, and developing robust applications, to create a resilient platform that our customers can depend on 24/7/365.

Our impact is indirect but critical: when Platform works well, every product team ships faster, safer, and at lower cost. We operate around four north-star KPIs: Productivity, Cost Efficiency, Risk, and Reliability.

About You:

We’re looking for someone who is obsessed with moving metrics, not just analysing them. We care far more about what you changed than what you built.

You might be a strong analyst, product-minded data scientist, or even an ex-engineer, but what matters most is that you:

Take ownership of outcomes, not just outputs

Are comfortable operating in ambiguity and shaping problems

Influence senior stakeholders without formal authority

Care about real-world impact more than perfect models

How You’ll Work:

Own Cloud Platform’s metrics end-to-end: definition, measurement, targets, coverage, and progress

Define what good looks like: understand systems, and the balance between costs, productivity, security, stability, and their trade-offs

Enable data-informed decisions: bring clarity to complex problems and push for action

Create leverage: frameworks, dashboards, and narratives that scales

Technical Expectations:

Excellent SQL proficiency and experience with data visualisation tools like Looker, Grafana, Lightdash, or Superset

Ability to build and manage data pipelines that are modularised and scalable, using tools like DBT and Airflow

Familiarity with observability/reliability concepts (SLIs, SLOs, incidents)

Some experience with Python / data transformation (DBT, etc.) is helpful

This is not a data engineering role, depth in pipelines is less important than impact on decisions

Why Should You Join Our Team?

Own a company-level KPI: not a dashboard, but a real outcome

High leverage: your work affects hundreds of engineers and millions of customers

Complex, meaningful problems: distributed systems, real-time failures, trade-offs at scale

Influence without authority: work directly with senior engineering leadership

Benefits:

Salary: £45,000-£68,000

Competitive stock options in a profitable company

Flexible working conditions tailored to support a balance between work and personal life

Annual budget for personal and professional development

Commitment to Diversity:

Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices.

If you're passionate about using your analytical skills to enhance platform reliability within a leading international financial services company, apply now to join us at Wise!

Good Reads:

Platform Engineering KPIs

Scaling our infrastructure at Wise: how we make it work

Wise's Tech Stack 2025

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.