Data Analyst- Cloud Platform

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