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- Tasks: Lead data analysis to drive strategic decisions and improve financial insights.
- Company: Wise is a global FinTech company focused on seamless money transfers across borders.
- Benefits: Enjoy hybrid working, generous leave policies, and stock options.
- Why this job: Join a dynamic team making impactful decisions in a fast-growing company.
- Qualifications: 4-7 years of 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.
Company 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 Lead 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.
Job Description
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 (this is very central to our Mission).
- 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.
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.
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.
Qualifications
Additional Information
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.
Lead Data Analyst - Finance & Treasury employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Finance & Treasury
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding their focus on financial transparency and customer-centric solutions will help you align your responses during interviews, showcasing how your experience can contribute to their goals.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to demonstrate your proficiency in these areas.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Highlight any instances where your analytical insights led to cost reductions or improved pricing strategies, as this aligns directly with the responsibilities of the position.
✨Tip Number 4
Network with current or former employees of Wise through LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview process.
We think you need these skills to ace Lead Data Analyst - Finance & 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.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the FinTech industry and how your analytical skills can contribute to Wise's mission of money without borders. Mention specific projects or achievements that demonstrate your impact.
Showcase Data Visualisation Skills: Include examples of your data visualisation work in your application. This could be through links to online portfolios or attachments that demonstrate your ability to tell a story with data.
Highlight Stakeholder Management Experience: In your application, mention any experience you have in managing stakeholders or working collaboratively across teams. This is crucial for the role and will show your ability to self-organise and lead effectively.
How to prepare for a job interview at Wise
✨Showcase Your Analytical Skills
As a Lead Data Analyst, you'll need to demonstrate your strong analytical abilities. Prepare examples of past projects where your analysis led to significant business decisions or improvements. Be ready to discuss the methodologies you used and the impact of your findings.
✨Master SQL and Python/R
Since strong SQL skills and proficiency in Python or R are essential for this role, brush up on these languages before the interview. Be prepared to answer technical questions or even solve problems on the spot to showcase your coding skills.
✨Understand Financial Metrics
Familiarise yourself with key financial metrics and how they relate to business growth. Be ready to discuss how you can help Wise analyse costs and develop pricing strategies that align with their mission of driving down costs and encouraging growth.
✨Prepare for Stakeholder Management Questions
This role requires managing stakeholders effectively. Think of examples where you've successfully communicated complex data insights to non-technical teams. Highlight your ability to self-organise and manage expectations, as this will be crucial in your new role.