At a Glance
- Tasks: Drive reliability metrics and influence engineering decisions for a seamless customer experience.
- Company: Join Wise, a global tech leader revolutionising money management.
- Benefits: Competitive salary, stock options, flexible work, and development budget.
- Other info: Diverse and inclusive workplace committed to equal opportunity.
- Why this job: Make a real impact on millions of customers with your analytical skills.
- Qualifications: Strong SQL skills and experience with data visualisation tools required.
The predicted salary is between 60000 - 95000 £ per year.
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.
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 is 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.
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 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
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 the Reliability metrics end-to-end: definition, measurement, targets, and progress
- Partner deeply with engineering: understand systems, incidents, and trade-offs
- Drive decisions: bring clarity to complex problems and push for action
- Balance short vs long-term: incidents vs systemic improvements
- Create leverage: frameworks, dashboards, and narratives that scale
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
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:
- Salary: £60,000-£95,000
- 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
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
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.
Senior Data Analyst - Product Reliability in London employer: hackajob
Wise is an exceptional employer that prioritises employee growth and work-life balance, offering competitive salaries and stock options in a thriving global technology environment. With a strong commitment to diversity and inclusion, Wise fosters a collaborative culture where your contributions directly impact millions of customers worldwide, making every day meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Product Reliability in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us that you’re not just another candidate; you’re someone who genuinely cares about making money management easier for everyone.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've improved reliability or influenced decisions in past roles. We want to hear about your real-world impact, not just your technical skills.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows us that you’re genuinely interested in the role. Plus, it’s a great chance to reiterate why you’d be a perfect fit!
We think you need these skills to ace Senior Data Analyst - Product Reliability in London
Some tips for your application 🫡
Show Your Passion for Reliability:When writing your application, let us see your obsession with reliability. Share examples of how you've improved metrics in past roles and how that made a real-world impact. We want to know what you changed, not just what you did!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experience and skills, especially around SQL and data visualisation tools. We appreciate clarity as much as you do!
Tailor Your Application:Make sure to customise your application for this role. Highlight your experience with systems availability, incident management, and how you've influenced decisions in previous positions. Show us why you're the perfect fit for our team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at hackajob
✨Know Your Metrics
As a Senior Data Analyst focused on Product Reliability, it's crucial to understand the key metrics that drive reliability. Be prepared to discuss how you’ve influenced metrics in past roles and how you would approach defining and measuring reliability at Wise.
✨Showcase Your Technical Skills
Make sure to highlight your SQL proficiency and experience with data visualisation tools like Looker or Grafana. Bring examples of how you've built and managed data pipelines, as this will demonstrate your technical capabilities and readiness for the role.
✨Prepare for Scenario Questions
Expect questions that assess your ability to operate in ambiguity and shape complex problems. Think of specific instances where you influenced senior stakeholders or made decisions that improved outcomes, and be ready to share those stories.
✨Understand the Company’s Mission
Wise is all about facilitating borderless transactions. Familiarise yourself with their mission and think about how your role as a Senior Data Analyst can contribute to that goal. Showing genuine interest in the company’s objectives will set you apart from other candidates.
