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Lead Analytics Engineer

Hybrid in London·Full-time·Added 3 months ago (last checked 9 Oct)

Wise

188 open roles

Overview

Job details

  • £85,000 - £125,000 a year

    Gross, as stated in the ad.

    About £4,990 - £6,500 a month after tax.

  • Full-time

    Per the ad.

  • Hybrid

    Office and home days — the ad has the split.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have senior-level experience

    Lead-level role.

Skills

Nice to have

Requirements

What we're looking for

  • Technical Expertise: Advanced proficiency in SQL and Python is a must.

  • Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models.

  • Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow.

  • Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives.

  • Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.

  • Python Development: Demonstrated ability to build practical solutions using Python.

  • Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems.

  • BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset.

Pay & benefits

What you'll get

  • Base salary: £85-125k gross / year base (based on experience & interview outcomes)

  • Restricted Stock Units (RSUs)

  • Numerous amount of best in class benefits

  • Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible

  • Paid annual holiday, sick days, parental leave and other leave opportunities

  • 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.

The role

We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data.

At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly.

Here's how you'll be contributing to the Analytics Engineering team:

What you'll do

  • Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling.

  • Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution.

  • Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility.

  • Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization.

  • Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.

What do I need to bring to the role?

This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here

Hiring process

3 steps2 interviewsa task to do
  1. Apply

  2. Recruiter conversation

    With a recruiter · Phone call

    Phone conversation about your experience, motivations and knowledge of Wise; the recruiter explains the role and next steps.

  3. Technical test

    Not every role

    Depending on the role: a case study, take-home challenge or technical test; software engineers do a paired coding exercise.

  4. Meet the team

    With a team members and your Lead · Video call

    Open-ended and scenario-based questions with the team you would join and your Lead, including a values-fit assessment.

  5. Offer

  • Interviews mostly take place over Zoom; some interviewers ask for in-person interviews.
  • An AI note-taker (Metaview) may record interviews; participation is optional.

About Wise

Industry
Fintech
Headquarters
London, UK
Website
wise.com

In their own words

About the company & team

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.

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