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- Tasks: Lead data analysis to drive strategic decisions and growth at Wise.
- Company: Wise is a global FinTech company revolutionising money transfers across 70 countries.
- Benefits: Enjoy hybrid working, generous leave, and stock options.
- Why this job: Join a diverse team making a real impact in the financial world.
- Qualifications: 4-7 years experience, strong SQL and analytical skills required.
- Other info: Background checks are mandatory for all new hires.
The predicted salary is between 60000 - 84000 £ per year.
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 Shoreditch, 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 make an impact and 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.
- Helping us understand what’s driving our growth at a company level.
- Helping us analyse how we’re generating costs and helping our teams come up with strategic plans to drive them down.
- Helping us develop better pricing strategies so that we can incentivise the right behaviour internally, and also encourage our growth.
Who you are:
- 4-7 years experience in similar roles.
- Mathematical background.
- Strong SQL skills.
- 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.
What do we offer:
- Salary: £75,000 - £100,000.
- Company Restricted Stock Units.
- Numerous great benefits in our London office.
Key benefits:
- Hybrid working.
- 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.
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.
Senior Data Analyst - Finance and Treasury employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Finance and Treasury
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding their focus on financial inclusivity and how they operate globally will help you align your answers during interviews, showcasing that you're not just a fit for the role but also for the company culture.
✨Tip Number 2
Brush up on your SQL and Python/R skills. Since these are crucial for the role, consider working on a small project or case study that demonstrates your ability to analyse financial data and present insights effectively.
✨Tip Number 3
Prepare to discuss your previous experiences where you've made a significant impact through data analysis. Be ready to share specific examples of how your insights influenced business decisions, particularly in finance or growth contexts.
✨Tip Number 4
Network with current or former employees of Wise on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the team dynamics and expectations, which can be invaluable during your interview process.
We think you need these skills to ace Senior Data Analyst - Finance and Treasury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in finance and treasury. Emphasise your SQL and Python/R skills, as well as any statistical modelling experience you have.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how it can drive business decisions. Mention specific examples of how you've influenced company growth or cost strategies in previous roles.
Showcase Analytical Skills: In your application, provide examples of your analytical abilities. Discuss projects where you've curated datasets, performed statistical modelling, or created data visualisations that led to actionable insights.
Highlight Soft Skills: Don't forget to mention your ability to self-organise and manage stakeholders. Wise values teamwork and communication, so illustrate how you've successfully collaborated with others in past roles.
How to prepare for a job interview at Wise
✨Showcase Your Analytical Skills
As a Senior Data Analyst, you'll need to demonstrate your strong analytical abilities. Be prepared to discuss specific examples of how you've used data to drive business decisions in previous roles. Highlight any statistical modelling or data visualisation projects you've worked on.
✨Master SQL and Python/R
Since strong SQL skills and proficiency in Python or R are essential for this role, make sure you can confidently discuss your experience with these tools. Consider preparing a small project or example that showcases your coding skills and how you've applied them in a financial context.
✨Understand the Business Context
Wise is looking for someone who can help them understand growth drivers and cost generation. Research the company’s mission and recent developments in the FinTech space. Be ready to discuss how your insights could influence their strategic plans and pricing strategies.
✨Prepare for Stakeholder Management Questions
You'll need to manage stakeholders effectively in this role. Think of examples where you've successfully communicated complex data insights to non-technical audiences. Be ready to explain how you prioritise tasks and manage expectations in a fast-paced environment.
