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.
More about our mission and what we offer.
Job Description
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
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Our team is committed to improve data user productivity while keeping cost sustainable
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You will work closely with the Analysts of one of the tribes at Wise
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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
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You will coordinate, support and execute on building core datasets
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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
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You will strategically assess what data modelling best practices at Wise should look like and make them a reality in your tribe
Qualifications
What we are looking for
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A great communicator & an expert in cross-functional collaboration
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Ability to build empathy for your stakeholders and (internal) customers and solve their problems proactively
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Experience in project management and prioritisation. You know what we should be working on now and in the future
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Strong storytelling ability with data
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Experience using an orchestration tool like Airflow
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Expert in SQL & transformation pipeline building
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Good to great python skills (e.g. CI checks, dbt Airflow integration, interacting with APIs)
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Driver of best practices regarding BI Tools like looker or superset
Additional Information
What do we offer:
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Salary: £55,000 - £75,000
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RSU’s
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Numerous great benefits in our London office
Key benefits:
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Mobile Wiser - Work abroad for up to 90 days of the year
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Paid annual holiday, sick days, parental leave and other leave opportunities
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6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
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Hybrid way of working
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.
