Finance Data Analyst
London, United Kingdom
Wise
160+ countries, 40 currencies, one account. Save when you send, spend and manage your money internationally.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
What you’ll be doing:
Your main focus will be using your technical skills to identify trends, patterns and insights in our data which influence our growth. You will work together with data scientists to incorporate these findings into the growth forecast.
You will be responsible for developing and maintaining our data pipelines which automate the extraction, loading, and transformation of raw data into meaningful growth KPIs.
You will create compelling visualisations and reports to communicate how we are growing and what is driving our growth to stakeholders across the business.
You will work cross-team to ensure our data pipelines are reliable and relevant. You will translate insights into actionable strategies and initiatives.
This will involve working within our product and analyst community to deeply understand how our product and financial data link together. The structured processes you develop and maintain should be automated and controlled, as a team we strive for efficiency.
This role will give you the opportunity to:
Play a crucial role in helping us understand what are the drivers of our growth are
Own data pipelines end to end and work alongside both our finance and product teams
Own your own path to success, you’ll have a high level of autonomy and responsibility
Learn and grow, there’s a lot to be done!
Qualifications
A bit about you:
Passionate about what we’re building at Wise
Love digging into data, numbers, thinking systematically, and analysing inter-dependencies
Strong command of SQL (and have used DBT before), ideally you also have experience with Python or you're willing to pick it up
You have owned and maintained data pipelines previously
Experience with data visualisation tools such as Looker, Superset or Tableau
Can work autonomously, take initiative and ownership of set tasks
Ability to operate to defined timelines, while working, presenting and effectively communicating with people from different backgrounds (from engineers to non-technical stakeholders)
Humble, comfortable operating with a level of uncertainty, keen to learn
Able to work across multiple teams, offices, time-zones with flexibility and a can do attitude
Eager to learn about modern systems and understand how they work
Legally authorised to work in the UK
Additional Information
Some important stuff we would like you to know
To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.
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.
Every Wiser should feel that they can be themselves at work.Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to share their contributions towards mission zero and able to progress in their careers.
Having diverse teams that reflect our diverse customer base helps us build a better product. We can be more creative and empathetic to our customer’s needs and make sure we leave no-one behind on our journey to mission-zero.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines dbt Finance KPIs Looker Pipelines Python SQL Superset Tableau
Perks/benefits: Career development Startup environment
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