Data Analyst- Cloud Platform

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. This role is responsible for reliability.

The Role: In this role, you will partner with senior engineering and product leaders to bring clarity to reliability: what it means in practice, how we measure it, and where we need to improve. You will connect low-level system signals: incidents, performance, failure modes, to their impact on customers and the business, and use that understanding to shape decisions.

You’ll play a key role in ensuring reliability is built into how we design and operate systems from the outset, not treated as an afterthought. This includes identifying where we are falling short, highlighting the most important risks, and influencing how teams invest their time between building new capabilities and strengthening existing systems.

This is a role for someone who combines analytical depth with strong judgement and a bias for impact: someone who wants to shape outcomes, not just describe them.

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, Technical Expectations: Excellent SQL proficiency and experience with data visualization 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.

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

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., 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!