Senior Data Analyst - Product Reliability at Wise

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.  The Reliability Analyst Role: This is your chance to revolutionise how Wise understands and improves platform reliability. You'll be the data storyteller who connects technical metrics to real customer experiences, transforming abstract reliability concepts into business impact narratives that drive action. As our dedicated reliability analyst, you'll build the analytics foundation that helps us predict, prevent, and quickly resolve issues before they affect customers. Your insights will directly influence how we design, build, and operate our systems, making you a key player in our mission to create the most dependable financial platform in the world. About You: We're looking for someone who has driven meaningful change through their analytics work. What excites us most is understanding the tangible impact you've created - whether that's identifying insights that shifted product strategy, building models that improved customer experience, or developing dashboards that transformed how teams make decisions. We want to hear about the moments when your analysis didn't just sit in a report, but actually changed how your company operated, saved costs, increased revenue, or solved real business problems. The specific metrics matter less than the story of how your analytical thinking translated into concrete outcomes that moved the needle for your organisation. Technical Skills: • Excellent SQL proficiency and experience with data visualization tools like Looker, Grafana, ELK, or Superset • Understanding of reliability engineering concepts (SLIs, SLOs, error budgets) and experience working with complex system performance data • Ability to build and manage data pipelines using tools like DBT and Airflow • Python skills for data analysis and automation Soft Skills: • Systems Thinking: Ability to understand complex interdependencies between services and customer journeys • Storytelling with Data: Exceptional capacity to translate technical metrics into meaningful business impact narratives • Collaborative Mindset: Skill in working across engineering teams to drive reliability improvements without direct authority • Curiosity: A desire to deeply understand how our systems work and why they sometimes fail Why Should You Join Our Team? At Wise, reliability isn't just an engineering concern—it's a business imperative: • Mission-Critical Impact: Your work directly affects our customers' trust and experience, when we're reliable, money moves instantly across borders • Career Growth: This role puts you at the intersection of technology and business strategy • Fascinating Technical Challenges: Analyse complex distributed systems and help solve reliability puzzles that impact millions of users • Shape the Future of Reliability: Define how we measure and improve reliability across Wise, establishing standards that will scale with our growth • Cross-Functional Influence: Work with Observability, Application Engineering, and product teams to drive meaningful improvements What will you be working on? Business Service Availability (Direct Revenue Protection) • Build the first-ever comprehensive view of Wise's business service availability from the customer perspective • Create compelling visualizations that show executives exactly how reliability affects business outcomes • Pioneer new methodologies for measuring availability that reflect real user experiences Service Quality Metrics Framework (Engineering Efficiency) • Create a revolutionary new framework for measuring service quality that connects technical metrics to customer experience • Design and implement a comprehensive quality metrics framework for our engineering teams • Create automated scoring systems that help teams understand their reliability posture • Develop benchmarking capabilities to compare reliability across different parts of our platform • Develop predictive models that identify potential reliability issues before they impact customers Cross-Team Reliability Initiatives (Strategic Influence) • Partner with Application Engineering to implement service quality metrics • Collaborate with product teams to establish meaningful reliability targets • Build data models that connect engineering decisions to customer satisfaction Your work will transform how we understand and improve reliability at Wise, directly contributing to our mission of money without borders. If you're excited about using data to make our platform more resilient for millions of customers worldwide, this role is for you! Benefits: • Salary: £60,000-£75,000 • 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