Wise
Analytics Engineer
Job Description
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 Analytics Engineer to join our Analytics Experience 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 130+ Analysts and 2.5k+ weekly active users of our Business Intelligence Tools. Analytics Engineers at Wise ensure that it is easy to find the right tool and the right data quickly.
Here’s how you’ll be contributing to the Analytics Experience team
-
You will work closely with the Analysts of one of the squads at Wise
-
You will spend a lot of time 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 help building core datasets
-
You will become the go to expert for new tooling like dbt 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 squad
Qualifications
Bonus Experience
-
Great at project management & communication
-
Experience using an orchestration tool like Airflow
-
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
Additional Information
Sneak peek into our Analytics function check out:
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.
