At a Glance
- Tasks: Analyse data to enhance platform reliability and influence key business decisions.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Flexible working, personal development budget, and a commitment to diversity.
- Other info: Dynamic team culture focused on innovation and career growth.
- Why this job: Make a real impact on customer trust and business performance with your analytical skills.
- Qualifications: Proficient in SQL, data visualisation tools, and some Python experience.
The predicted salary is between 50000 - 65000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money. Behind our seamless customer experience is a complex system of services that process over $100 billion annually for 16+ million customers worldwide. As we scale to serve millions more customers, reliability isn’t just a technical concern, it’s core to customer trust and business performance.
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.
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. 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.
You might be a strong analyst, product-minded data scientist, or even an ex-engineer, but what matters most is that you:
- Balance short vs long-term: incidents vs systemic improvements
- 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
- Some experience with Python / data transformation (DBT, etc.) This is not a data engineering role, depth in pipelines is less important than impact on decisions.
Flexible working conditions tailored to support a balance between work and personal life. Annual budget for personal and professional development.
Commitment to Diversity: 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!
We're people building money without borders — without judgement or prejudice, too. 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.
