Lead Data Analyst - Operations

Wise
London
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst - Operations

Assistant Data Analyst

Lead Data Engineer

Join to apply for the Lead Data Analyst - Complaints/QA role at Wise

Join to apply for the Lead Data Analyst - Complaints/QA role at Wise

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.

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 life 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.

Job Description

We’re looking for an Lead 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 an Lead Data 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, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission!

About The Squad

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

Your Mission

Maximise the impact of your team by helping them make the best decisions for our customers, using analytics.

You’ll Own The Challenge Of

  • Supporting the Operations leadership by providing critical information to assess the health of Operations
  • Size, track performance and identify optimisation opportunities for key strategic initiatives.
  • Lead on implementing Operations KPI tree and operation teams target setting framework in pipelines and reporting.
  • Working on providing in-depth analysis on operation metrics while measuring the corresponding impact on our customers.

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 4+ years of experience in analytics.
  • You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis and experimentation.
  • You have experience with building data pipelines, using dbt.
  • You have advanced SQL skills.
  • You have experience working with Python/R.
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data.
  • You’re a self-starter who is comfortable working in highly empowered teams.

Some Extra Skills That Are Great (but Not Essential)

  • You have experience within a WFM team or experience working with a WFM team.
  • You have experience within complaints and quality assurance.

Additional Information

What Do We Offer

  • Salary Range: £75,000 - £100,000 (+RSU's)
  • Numerous great benefits in our London office

Key Benefits

  • Hybrid working model
  • 25 days Paid Annual holiday + 3 Me Days
  • 15 Sick Days
  • Mobile Wiser - 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 Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology

Referrals increase your chances of interviewing at Wise by 2x

Sign in to set job alerts for “Lead Data Analyst” roles.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

Senior Data Analyst | Greenfield Trading House | Up to £100k + Bonus | London Hybrid 3x/weekLiquidity Data & Analytics Business Analyst

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

Snr Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, BenefitsSenior Data Analyst (Operations) - Enterprise Product

London, England, United Kingdom 1 week ago

Senior Data Analyst - London Market, Insurance

City Of London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 4 days ago

Senior Data Analyst - London Market, Insurance, Contract

City Of London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

Senior Data Analyst - Circularity Strategy

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Uxbridge, England, United Kingdom 3 weeks ago

Assistant Manager | Data and Technology Services

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom 1 week ago

Sutton, England, United Kingdom 6 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.