Senior Analytics Engineer

Posted 18 Hours Ago
Be an Early Applicant
London, Greater London, England
Hybrid
Mid level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing Fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
As a Senior Analytics Engineer at Wise, you will enhance the Analytics Engineering team by improving data user productivity and mentoring analysts to establish best practices. You'll coordinate the construction of core datasets, support data tooling adoption, and define data modeling best practices within a specific tribe.
Summary Generated by Built In

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

  • 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.

Qualifications

What we are looking for

  • A great communicator & an expert in cross-functional collaboration

  • Ability to build empathy for your stakeholders and (internal) customers and solve their problems proactively

  • Experience in project management and prioritisation. You know what we should be working on now and in the future

  • Strong storytelling ability with data

  • Experience using an orchestration tool like Airflow

  • Expert in SQL & transformation pipeline building

  • Good to great python skills (e.g. CI checks, dbt Airflow integration, interacting with APIs)

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

Additional Information

What do we offer: 

  • Salary: £55,000 - £75,000

  • RSU’s

  • Numerous great benefits in our London office 

Key benefits:

  • Mobile Wiser - Work abroad for up to 90 days of the year

  • 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

  • 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.

Top Skills

Python
SQL

What the Team is Saying

Lindsay
Surendra
Smrithi
Pavan
Asya
Jennifer
Lauren
The Company
HQ: Austin, TX
6,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

We’re making a positive, irreversible change in the world of finance. Together.

People on every continent around the world are choosing Wise to help them live, travel and work internationally. We’re the fairest, easiest way to send money overseas.

Built by and for people who live global lives, we make sending money abroad up to 8 times cheaper than the bank. This is money without borders - instant, convenient, transparent and eventually free.

For our customers, using Wise is as simple as sending money from A to B, but behind our app and website is a complex engine of currencies and routes, that’s being designed, built and powered by our talented teams in cities around the world.

We’re just at the beginning of our story and we’re growing at an incredible pace. We won’t stop until anyone, anywhere can send, spend and receive money wherever they are, whatever they’re doing. There’s still heaps to do and we can’t do it alone.

Why Work With Us

We are a mission-driven company, looking to change banking for the better. Current banking systems don’t let us send, spend or receive money across borders easily. Or quickly. Or cheaply. So, we’re building a new one. If you're looking for an autonomous work environment, where you'll face cool challenges, learn and grow, you'll like working at Wise

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WISE Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Here at Wise we have a hybrid working model – a mix of working from home and from the office. Wisers can also work remotely for 90 days a year. By ‘remote’ we don’t just mean from home, but from wherever in the world you choose to!

Typical time on-site: 2 days a week
HQAustin, TX
Singapore
Brussels, BE
Hungary
Kuala Lumpur, MY
London, GB
Mumbai, Maharashtra
New York, NY
São Paulo, BR
Tallinn, EE
Tokyo, JP
Learn more

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