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- Tasks: Transform data into impactful stories that enhance platform reliability for millions of users.
- Company: Wise is a global tech company revolutionising money movement with low fees and high efficiency.
- Benefits: Enjoy flexible working conditions, competitive salary, stock options, and a personal development budget.
- Why this job: Join us to shape the future of financial reliability and tackle fascinating technical challenges.
- Qualifications: Proficiency in SQL, data visualisation tools, and a knack for storytelling with data required.
- Other info: Be part of a diverse team committed to making money management accessible for everyone.
The predicted salary is between 60000 - 75000 £ 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.
More about our mission and what we offer.
About Wise:
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, ensuring our platform\’s reliability becomes increasingly critical to our mission and revenue growth.
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 visualisation 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 visualisations 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
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.
If you\’re passionate about using your analytical skills to enhance platform reliability within a leading international financial services company, apply now to join us at Wise!
For everyone, everywhere. We\’re people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We\’re proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it\’s like to work at Wise visitWise.Jobs.
Keep up to date with life at Wise by following us onLinkedInandInstagram.
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Senior Data Analyst - Reliability employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Reliability
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding their commitment to reliability and customer experience will help you align your insights and experiences with what they are looking for in a candidate.
✨Tip Number 2
Prepare to discuss specific examples of how your analytical work has driven change in previous roles. Be ready to share stories that highlight your ability to connect technical metrics to real business outcomes, as this is crucial for the role.
✨Tip Number 3
Brush up on your SQL and data visualisation skills, particularly with tools like Looker or Grafana. Being able to demonstrate your technical proficiency during discussions can set you apart from other candidates.
✨Tip Number 4
Showcase your collaborative mindset by preparing examples of how you've worked across teams to improve processes or solve problems. This role requires strong teamwork, so highlighting your ability to influence without authority will be beneficial.
We think you need these skills to ace Senior Data Analyst - Reliability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Analyst role at Wise. Focus on your analytical achievements, particularly those that demonstrate how your work has driven meaningful change.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your journey as a data analyst. Emphasise specific examples where your insights led to tangible business outcomes, showcasing your ability to connect technical metrics to real customer experiences.
Showcase Technical Skills: Clearly outline your proficiency in SQL, data visualisation tools, and any experience with reliability engineering concepts. Mention specific projects or tasks where you utilised these skills effectively.
Demonstrate Soft Skills: Highlight your collaborative mindset and storytelling abilities. Provide examples of how you've worked across teams to drive improvements and how your curiosity has led you to understand complex systems better.
How to prepare for a job interview at Wise
✨Showcase Your Data Storytelling Skills
Prepare to discuss specific examples where your analytical work led to meaningful changes in your previous roles. Focus on how you transformed complex data into actionable insights that impacted business outcomes.
✨Demonstrate Technical Proficiency
Be ready to showcase your SQL skills and familiarity with data visualisation tools like Looker or Grafana. You might be asked to solve a technical problem or explain how you've used these tools in past projects.
✨Understand Reliability Engineering Concepts
Brush up on key concepts such as SLIs, SLOs, and error budgets. Be prepared to discuss how these concepts relate to the role and how you've applied them in your previous work to enhance system reliability.
✨Emphasise Collaboration and Curiosity
Highlight your ability to work across teams and your eagerness to understand complex systems. Share examples of how you've collaborated with engineering teams to drive improvements in reliability without direct authority.