Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analysis to drive strategic decisions and enhance company growth.
- Company: Join Wise, a global FinTech leader on a mission for money without borders.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Why this job: Make a real impact in a fast-growing company with diverse teams.
- Qualifications: 4-7 years experience, strong SQL and analytical skills, and a mathematical background.
- Other info: Inclusive culture celebrating diversity and offering excellent career progression.
The predicted salary is between 60000 - 84000 £ per year.
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.
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.
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.
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.
Lead Data Analyst - Finance & Treasury employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Finance & Treasury
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us that you’re not just another candidate; you’re someone who truly aligns with our goal of money without borders.
✨Tip Number 3
Brush up on your SQL and Python skills! We love candidates who can demonstrate their technical prowess. Consider doing a mini-project or two to showcase your analytical abilities during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the Wise team.
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 is tailored to the Lead Data Analyst role. Highlight your experience with SQL, Python/R, and any relevant statistical modelling skills. We want to see how your background aligns with our mission at Wise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our growth. Be sure to mention specific projects or achievements that demonstrate your analytical abilities.
Showcase Your Impact: In your application, don’t just list your responsibilities; show us the impact you've made in previous roles. We love seeing examples of how your work has influenced decisions or improved processes. Make it clear how you go above and beyond!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your application in the best light. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Lead Data Analyst, you'll be expected to have a strong grasp of financial metrics. Brush up on key financial indicators relevant to Wise's mission. Be ready to discuss how you've used data to drive decisions in your previous roles.
✨Showcase Your SQL Skills
SQL is crucial for this role, so prepare to demonstrate your proficiency. Consider bringing examples of complex queries you've written or analyses you've conducted. This will show your technical ability and problem-solving skills.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Think about how you've tackled challenges related to cost analysis or pricing strategies. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasise Your Storytelling Ability
Data visualisation and storytelling are key components of this role. Prepare to discuss how you've presented data insights to stakeholders in the past. Bring along examples of dashboards or reports you've created that effectively communicated your findings.
