National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst - Reliability

TopCompare.be
London
5 days ago
Create job alert

Company 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 aboutour missionandwhat we offer.


Job Description

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.


Qualifications

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

Additional Information

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst + Data Analyst

Senior Data Analyst + Data Analyst

Senior Data Analyst + Data Analyst

Senior Data Analyst + Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.