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

Nominate & Attend

Senior Data Analyst - Customer Experience

Wise
Greater London
3 months 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 about and .

Job Description

We’re looking for an Senior Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team.

As a Senior Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. 

Most importantly, you’ll collaborate closely with your operational leads, BI specialists, team leads to turn your insights into real change for our customers and help drive our mission! 

About the Squad:

The support squad’s mission - To deliver a customer support experience that minimises effort and scales globally. We believe this will help Wise get to mission zero. 

You’ll be responsible for:

Owning all data and analytics assetswithin your domain, serving as the go-to expert for insights that drive informed decision-making.

Developing and implementing KPI trees and target-setting frameworksin reporting pipelines to support product teams in achieving their goals.

Conducting in-depth analysis of operational metrics, providing valuable insights into their impact on customers and business performance.

Monitoring and optimising key strategic initiatives, identifying opportunities to improve efficiency, enhance operations, and drive better outcomes.

Supporting operational leadershipwith critical insights to assess and strengthen the overall effectiveness of the customer support function.

Collaborating with cross-functional teamsto standardise real-time operational processes, drive continuous improvement, and ensure strategic alignment.

This role will give you the opportunity to: 

Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money

Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!

Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.

Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.

Qualifications

A bit about you: 

You have 3+ years of experience in analytics

You have advanced SQL skills 

You have a background working with operational team analytics including target setting and tracking performance metrics.

You have experience with building data pipelines.

You have experience working with Python/R.

You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

Some extra skills that are great (but not essential): 

Prior experience in the Customer Experience or Customer Journey domains

Additional Information

What do we offer: 

Starting salary: £60,000 - £75,000 (+ RSU's)

Numerous great benefits in ourLondonoffice 

Key benefits:

25 days Paid Annual holiday + 3 Me Days

15 Sick Days

- Work abroad for up to 90 days of the year

6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

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 visit .

Keep up to date with life at Wise by following us on and .

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior 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.

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.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.