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.

We’re looking for a Senior Analytics Engineer to join our Analytics Engineering team in London.

Your Mission

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 170+ Analysts and 3k+ weekly active users of our Business Intelligence Tools. Analytics Engineers at Wise ensure that it is easy to find trustable data and retrieve it quickly.

Here’s how you’ll be contributing to the Analytics Experience team

• Our team is committed to improve data user productivity while keeping cost sustainable

• You will work closely with the Analysts of one of the tribes at Wise

• You will focus on working with Analysts to establish basic infrastructure, monitoring, testing & best practices. You do this by mentoring analysts directly and creating and owning a data infrastructure roadmap for the tribe

• You will coordinate, support and execute on building core datasets

• You will become the go-to expert for new data tooling and best practices and roll it out across the organisation by helping others to adopt it

• You will strategically assess what data modelling best practices at Wise should look like and make them a reality in your tribe

You can read more about our Analytics Career Map and levelling structure here.

What do I need to bring to the role? 

● Advanced SQL and Python 

● Analytics pipeline building & data modelling 

● Strong storytelling with data ability 

● Great at project management & communication 

● Experience using an orchestration tool like Airfl 

● Built something in Python 

● Strong storytelling ability with data 

● Able to build empathy for your stakeholders and (internal) customers and solve their problems proactively 

● Driver of best practices regarding BI Tools like looker or superset

Our Offer

• Base salary: £60k-75k 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.