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 borderless transactions.
- 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.
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 employer: Limelight Health
Wise is an exceptional employer that prioritises employee growth and work-life balance, offering competitive salaries and stock options in a thriving tech environment. With a strong commitment to diversity and inclusion, employees are empowered to tackle complex challenges while influencing key decisions that impact millions of customers globally. The flexible working conditions and annual development budget further enhance the rewarding experience of being part of a mission-driven team dedicated to revolutionising the way money moves across borders.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Product Reliability
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Analyst role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by diving deep into reliability metrics and how they impact customer experience. Be ready to discuss real-world examples of how you've influenced decisions based on data. Show us that you're not just about numbers, but about making a difference!
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on the outcomes and the impact of your work. We want to hear how you took ownership and drove change, 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 seen. Plus, it shows us you’re genuinely interested in being part of the Wise team. Let’s make it happen!
We think you need these skills to ace Senior Data Analyst - Product Reliability
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your experience with reliability metrics and how you've influenced decisions in past roles. We want to see how you can bring clarity to complex problems!
Show Your Impact:When detailing your previous work, focus on the outcomes rather than just the tasks you completed. We care about what you changed and how it affected the business or customers. Use specific examples to illustrate your impact!
Be Clear and Concise:Keep your application straightforward and to the point. Avoid jargon unless it's relevant to the role. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
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’re considered for the role. Plus, it shows you’re keen on joining our team at Wise!
How to prepare for a job interview at Limelight Health
✨Know Your Metrics
Before the interview, brush up on key reliability metrics and how they impact customer experience. Be ready to discuss specific examples of how you've influenced metrics in your previous roles, as this aligns perfectly with what Wise is looking for.
✨Understand the Tech Stack
Familiarise yourself with the tools mentioned in the job description, like SQL, Looker, and DBT. Being able to speak confidently about these technologies and how you've used them will show that you're not just a data analyst but someone who can drive real change.
✨Prepare for Scenario Questions
Expect questions that ask you to solve complex problems or improve existing systems. Think of past experiences where you had to balance short-term fixes with long-term improvements, and be ready to share your thought process.
✨Show Your Passion for Impact
Wise values candidates who care about real-world outcomes over perfect models. Be prepared to discuss how your work has made a tangible difference in previous roles, and express your enthusiasm for contributing to Wise's mission of facilitating borderless transactions.
