Lead Analytics Engineer

Wise; London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Wise is seeking a Lead Analytics Engineer to enhance its analytics capabilities in London. This role involves mentoring analysts, shaping the data infrastructure, and ensuring data quality and accessibility. The successful candidate will have expertise in SQL and Python, along with proven experience in data modeling and project management.

Benefits

Restricted Stock Units (RSUs)

Flexible working arrangements

Paid annual holiday and sick days

6 weeks of paid sabbatical after 4 years

Inclusive and diverse work environment

Qualifications

• Advanced proficiency in SQL and Python.
• Experience in building robust analytics pipelines.
• Hands-on with orchestration tools like Airflow.

Responsibilities

• Lead and mentor Analysts on best practices.
• Define and drive the data infrastructure roadmap.
• Build and maintain core datasets ensuring data quality.

Skills

SQL

Python

Data Modelling

Project Management

Storytelling with Data

Stakeholder Empathy

Tools

Airflow

Looker

Superset

Job description

• __vacancyopjusttionswidget.opt-Team__ Analytics
• __vacancyopjusttionswidget.opt-Locations__ London

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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.

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:

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.

Qualifications

What do I need to bring to the role?

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.

Additional Information

Our Offer

Base salary: £85-110k 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 visitWise.Jobs .

Find out more about our team, how we work and other open roles.

Find out more about what we offer our employees

From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.

For everyone, everywhere. We’re people building money without borders.

• __vacancyopjusttionswidget.opt-Locations__ London