Senior Data Analyst - Growth at Wise

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

85000.0

Posted On

13 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Statistical Modelling, Data Visualisation, Storytelling, Stakeholder Management, DBT, Data Modelling, Experimental Design

Industry

Financial Services

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 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 Your Mission: At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company. Due to continued and rapid growth we’re on the hunt for a Senior Data Analyst to join our Growth and Strategic Finance Team in London. You’ll be part of the team that helps pilot the rocket ship. What you’ll be doing: Your principal responsibility will be to generate insights that lead us to better decisions for the company and our customers Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company Depending on the project you’re working on, you’ll doing the following: Helping us understand what’s driving our growth at a company or regional level Understand our customer segments and cohorts, and how they contribute to our growth Tie our customer acquisition and activity to marketing or product initiatives, to measure the realised financial return of those initiatives Who you are: 3 years experience in similar roles Mathematical or quantitative background Strong SQL skills Familiarity with Python/R Strong analytical ability Decent understanding of stats and statistical modelling Data visualisation and storytelling ability Ability to self organise and manage stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. Additional Information Some of our benefits: 💰Base salary of £60,000 - £85,000 🚀RSU's in a growing and public company 🌎 Work from (almost) anywhere in the world for up to 90 days a year 🏠 Flexible working - you’re trusted to do the right thing and be responsible 🏥 Private Medical Insurance + Life Insurance 🏋️ Discounted gym memberships and cycle to work scheme 🏝️ A paid 6-week sabbatical leave after four years 👶 26 weeks maternity leave at full pay 💪 An annual self-development budget 🚀 Annual Mission Days festival 🐶 Pet friendly offices 🏃‍♀️ Lots of fun group activities like yoga, running and boardgame nights Find out more about our benefits in our London office. 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. Compensation: GBP 60000 - GBP 85000 - yearly

Responsibilities

Generate insights to drive business decisions by curating datasets and performing deep-dive analysis on growth metrics. Analyze customer segments and cohorts to measure the financial return of marketing and product initiatives.