At a Glance
- Tasks: Drive reliability metrics and influence engineering decisions for a seamless customer experience.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, flexible work, and personal development budget.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact on millions of customers and shape the future of finance.
- Qualifications: Strong SQL skills, data visualisation experience, and a passion for real-world impact.
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. 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.
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 ensures 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.
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. Take ownership of outcomes, not just outputs. Be 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 systematic 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.
This is not a data engineering role; depth in pipelines is less important than impact on decisions.
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.
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: Limelight Health
Wise is an exceptional employer that empowers its employees to make a tangible impact on the world of finance. With a strong focus on personal and professional development, flexible working conditions, and a commitment to diversity, Wise fosters a collaborative and innovative work culture where every team member can thrive. As a Senior Data Analyst in Product Reliability, you will play a crucial role in shaping the reliability of our systems, directly influencing the experience of millions of customers while enjoying competitive compensation and stock options.
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 people in the industry, especially those at Wise. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into reliability metrics and how they impact customer experience. Show us you’re not just about numbers but about real-world impact!
✨Tip Number 3
Practice your storytelling skills. When discussing your past experiences, focus on how you influenced decisions and drove outcomes, not just what you did.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Analyst - Product Reliability in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with reliability metrics and data analysis. We want to see how your skills align with our mission at Wise!
Show Your Impact:When detailing your past roles, focus on the outcomes you achieved rather than just the tasks you completed. We care about what you changed and how it benefited the team or company.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experience with SQL, data visualisation tools, and any relevant projects you've worked on.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensure you’re considered for the role!
How to prepare for a job interview at Limelight Health
✨Know Your Metrics
As a Senior Data Analyst, you'll need to demonstrate your obsession with moving metrics. Be prepared to discuss specific examples of how you've influenced metrics in previous roles. Think about the impact your work had on decision-making and customer experience.
✨Understand Reliability Concepts
Familiarise yourself with observability and reliability concepts like SLIs and SLOs. During the interview, be ready to explain how these concepts apply to real-world scenarios and how you would measure and improve reliability in a system.
✨Showcase Your SQL Skills
Since excellent SQL proficiency is crucial for this role, brush up on your SQL skills before the interview. Prepare to solve some practical SQL problems or discuss past projects where you used SQL to drive decisions.
✨Prepare for Stakeholder Engagement
You'll need to influence senior stakeholders without formal authority, so think of examples where you've successfully navigated complex discussions. Be ready to share how you brought clarity to ambiguous situations and drove action in your previous roles.
