Wise
Financial Services
SeniorDataAnalyst-ProductReliability
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Analyst - Product Reliability at Wise. Skills: Reliability metrics definition, measurement, targets, and progress, Partnering with engineering, Driving decisions, Balancing short vs long-term improvements, Creating leverage (frameworks, dashboards, narratives). Bring clarity to reliability: what it means in practice, how we measure it, and where we need to improve. Connect low-level system signals (incidents, performance, failure modes) to their impact on customers and the business”
What You'll Achieve.
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; Own a company-level KPI: not a dashboard, but a real outcome
Industry & Context.
Bring clarity to complex problems; Shaping problems
Must have the right to work in the UK, Wise does not provide visa sponsorship
What They're Looking For.
Must Have
Excellent SQL proficiency, Experience with data visualization tools, Ability to build and manage data pipelines, Familiarity with observability/reliability concepts (SLIs, SLOs, incidents)
Nice to Have
Some experience with Python / data transformation (DBT, etc. ) is helpful
What You'll Do.
Bring clarity to reliability: what it means in practice
and where we need to improve
Connect low-level system signals (incidents
failure modes) to their impact on customers and the business
Shape decisions based on reliability impact
Ensure reliability is built into system design and operation
Identify areas of falling short
Highlight most important risks
Influence how teams invest their time
Own the Reliability metrics end-to-end: definition
Partner deeply with engineering to understand systems
Drive decisions by bringing clarity to complex problems and pushing for action
Balance short vs long-term priorities (incidents vs systemic improvements)
Create leverage through frameworks
How You'll Work.
Team & Collaboration
Partner with senior engineering and product leaders; Partner deeply with engineering
Communication Scope
Influence senior stakeholders without formal authority; Create narratives that scales
Full Job Description
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. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). Wise is on a mission to facilitate borderless transactions – instant, transparent, and eventually free. 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. 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. 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 en
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