Data Analyst- Cloud Platform

The Platform Engineering Tribe:

We are the backbone of Wises 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.

Youll 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.

Success in this role means that:

• Reliability improves in measurable ways across the platform

• Teams make better more informed decisions because of your work

• Leadership has a clear consistent view of reliability and its impact on customers

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:

Were 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 Youll Work:

• Own Cloud Platforms 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

Qualifications :

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.

Additional Information :

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:

• 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 youre 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

• Wises Tech Stack 2025

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time